{"meta":{"query_hash":"2900ba0091e7","filters":{"venue":"ConductScience Proceedings"},"cohort_total":1,"direct_labels_cover":0,"predictions_cover":1,"exported":1,"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/2900ba0091e7","api":"https://metacan.xera.ac/api/v1/cohort?venue=ConductScience+Proceedings"},"results":[{"id":"W4404717862","doi":"10.55157/conductscience-proceedings.2024.1.41","title":"Network Analysis in Global Emergency Medicine: Mapping Collaborative Structures and Enhancing Connectivity","year":2024,"lang":"en","type":"article","venue":"ConductScience Proceedings","topic":"Healthcare Systems and Technology","field":"Business, Management and Accounting","cited_by":0,"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 Toronto","funders":"","keywords":"Computer science; Data science","score_opus":0.026631474100725427,"score_gpt":0.2952947221781766,"score_spread":0.2686632480774512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404717862","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":[0.9830112,0.0025327995,0.00044515982,0.003403045,0.0010570751,0.00027342624,0.0000016813735,0.0002116647,0.009063972],"genre_scores_gemma":[0.9988252,0.000037990885,0.00012895229,0.00025908818,0.0006669651,0.000021131145,0.000001648299,0.000007398136,0.000051657113],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9983428,0.000005457616,0.00039747971,0.000593719,0.00023050798,0.0004300069],"domain_scores_gemma":[0.9994196,0.000027578886,0.00014684722,0.00007870128,0.00030321287,0.000024053445],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010909338,0.00017468103,0.00034846156,0.0005472877,0.00022369466,0.00018605914,0.00020646534,0.000107230604,0.000106837804],"category_scores_gemma":[0.0005430581,0.00014224646,0.000029422265,0.011186121,0.00020950052,0.001313865,0.00015944164,0.00018523054,0.0000083896675],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000050649987,0.000007458411,0.37744844,0.0007834234,0.00006579062,0.000013311513,0.0010311574,0.000016765118,0.005136257,0.6061942,0.0030210647,0.0062770485],"study_design_scores_gemma":[0.0006071895,0.00008885257,0.48320076,0.0010388446,0.00036996402,0.000029016326,0.028287338,0.03021393,0.00017679328,0.36730427,0.08741567,0.0012673542],"about_ca_topic_score_codex":0.0022176993,"about_ca_topic_score_gemma":0.0014659505,"teacher_disagreement_score":0.23888993,"about_ca_system_score_codex":0.00007925272,"about_ca_system_score_gemma":0.00006575877,"threshold_uncertainty_score":0.58006424},"labels":[],"label_agreement":null}]}