{"meta":{"query_hash":"e105162c7f95","filters":{"venue":"International Journal of Planning and Scheduling"},"cohort_total":2,"direct_labels_cover":0,"predictions_cover":2,"exported":2,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/e105162c7f95","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Planning+and+Scheduling"},"results":[{"id":"W2083859858","doi":"10.1504/ijps.2011.044546","title":"Inter-domain translational research on planning and scheduling: operating rooms vs. job shops","year":2011,"lang":"en","type":"article","venue":"International Journal of Planning and Scheduling","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scheduling (production processes); Industrial engineering; Translational research; Field (mathematics); Operations research; Operations management; Engineering; Mathematics; Medicine","score_opus":0.08679686363456976,"score_gpt":0.3415164192481073,"score_spread":0.25471955561353754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083859858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84030145,0.001915028,0.15433237,0.00029974853,0.0010238307,0.00006680243,0.000007397425,0.00007020499,0.0019831737],"genre_scores_gemma":[0.81395423,0.00005791988,0.18525247,0.00008287301,0.0005826399,0.0000029910439,0.000007089256,0.00003502218,0.000024767196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980163,0.000101730824,0.0006560641,0.00023651485,0.00067748135,0.000311921],"domain_scores_gemma":[0.9987705,0.00035924415,0.00013669516,0.00009678928,0.0004298209,0.00020699199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015941737,0.00022231328,0.00028097257,0.0007256815,0.00022330768,0.00026294723,0.00032672868,0.00014661379,0.000044351662],"category_scores_gemma":[0.00023088879,0.00021071722,0.00007434721,0.00017166193,0.000097939075,0.0003955297,0.000053127587,0.0010077114,0.000005127177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030517098,0.00006371252,0.05038443,0.00004237392,0.00039288183,0.0003415873,0.014705071,0.9239975,0.0013007498,0.001787692,0.000065699984,0.0066130883],"study_design_scores_gemma":[0.0025554164,0.0004249875,0.015091089,0.002457226,0.00004035982,0.00089697447,0.0081560565,0.96475035,0.0025046074,0.0021104298,0.00042668043,0.0005858095],"about_ca_topic_score_codex":0.0000075501825,"about_ca_topic_score_gemma":9.2259955e-7,"teacher_disagreement_score":0.04075282,"about_ca_system_score_codex":0.00005755016,"about_ca_system_score_gemma":0.000055685236,"threshold_uncertainty_score":0.8592799},"labels":[],"label_agreement":null},{"id":"W2285536374","doi":"10.1504/ijps.2015.072107","title":"Mine production scheduling for poly-metallic mineral deposits: extension to multiple processes","year":2015,"lang":"en","type":"article","venue":"International Journal of Planning and Scheduling","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Heuristics; Scheduling (production processes); Block (permutation group theory); Computer science; Sequence (biology); Mathematical optimization; Extension (predicate logic); Mathematics; Chemistry","score_opus":0.04702184344644901,"score_gpt":0.2886992622629689,"score_spread":0.24167741881651988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2285536374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8872685,0.001681635,0.10955474,0.0003142901,0.0010261916,0.000072204675,0.0000036052409,0.000052834253,0.000026034091],"genre_scores_gemma":[0.7728031,0.000032055137,0.22635125,0.000045294444,0.00071746815,0.0000046692853,0.000005765224,0.00001695605,0.000023400871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992631,0.000006098487,0.0003431407,0.0001155136,0.00014212896,0.00013000613],"domain_scores_gemma":[0.9992071,0.00006269824,0.00011295021,0.000052809737,0.0004400191,0.00012446188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038710778,0.00010619673,0.00016314317,0.00020849908,0.000036424863,0.00008875596,0.00014193589,0.00005046547,8.551051e-7],"category_scores_gemma":[0.0007861962,0.0001017969,0.00003866755,0.00006074681,0.000009251588,0.00025520724,0.000026412356,0.00012153645,0.0000010326469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041466733,0.000047712463,0.01657128,0.00011314741,0.00022106552,0.000035645517,0.0028094824,0.92398596,0.044304557,0.00006878399,0.0010461573,0.010381561],"study_design_scores_gemma":[0.0035291992,0.0009772719,0.0033709637,0.0032847195,0.00015534098,0.0024044774,0.0033190243,0.858944,0.10717562,0.0015940046,0.014167835,0.0010775347],"about_ca_topic_score_codex":0.0000054965362,"about_ca_topic_score_gemma":0.000005917542,"teacher_disagreement_score":0.11679651,"about_ca_system_score_codex":0.00006139703,"about_ca_system_score_gemma":0.000038176557,"threshold_uncertainty_score":0.41511568},"labels":[],"label_agreement":null}]}