{"id":"W3176848776","doi":"10.1613/jair.1.14117","title":"Contract Scheduling with Predictions","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Research","topic":"Auction Theory and Applications","field":"Decision Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Computer science; Imperfect; Scheduling (production processes); Robustness (evolution); Schedule; Binary number; Operations research; Mathematical optimization; Machine learning; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01671741,0.00007114876,0.000189913,0.001115193,0.0006191322,0.0003489457,0.0007939817,0.00006013542,0.0008224357],"category_scores_gemma":[0.006082898,0.00004527161,0.0001048109,0.004551697,0.0004415311,0.0004648312,0.0000741945,0.0007058076,0.002221667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004949757,"about_ca_system_score_gemma":0.0003267347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009616994,"about_ca_topic_score_gemma":0.00001999845,"domain_scores_codex":[0.995727,0.0004272446,0.0009023499,0.0002083939,0.002391917,0.0003431143],"domain_scores_gemma":[0.9926053,0.003833698,0.0002984107,0.0003367075,0.002709522,0.0002164145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006796159,0.0003661178,0.001466797,0.000005460598,0.00008368884,0.0001258002,0.002715014,0.1175517,0.01512884,0.3580445,0.005933649,0.4978988],"study_design_scores_gemma":[0.00005752957,0.0006946812,0.001605516,0.00006891254,0.00001318584,0.0001801238,0.02932223,0.05839642,0.03511104,0.856595,0.01781271,0.0001426976],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5193124,0.00006334111,0.4691911,0.008255021,0.0003953902,0.0002109962,0.000007858579,0.00004354247,0.00252034],"genre_scores_gemma":[0.9973203,0.00006416976,0.001225616,0.00002029583,0.0005071181,0.000008785843,4.976287e-7,0.000008447082,0.0008447542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4985505,"threshold_uncertainty_score":0.9985552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5279592051656413,"score_gpt":0.563474215626612,"score_spread":0.03551501046097072,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}