{"id":"W4237429822","doi":"10.1109/formalise.2019.00007","title":"Program Committee","year":2019,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Queen's University; Université de Sherbrooke; University of Ottawa; University of Waterloo; University of Toronto","funders":"","keywords":"Computer science; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007222031,0.000878555,0.0008787576,0.003623876,0.002669952,0.005704722,0.002529696,0.002823312,0.5952181],"category_scores_gemma":[0.01195525,0.0005514774,0.0009029481,0.001684797,0.0005845599,0.002336704,0.004015593,0.002708585,0.4813919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003007201,"about_ca_system_score_gemma":0.01096903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003303906,"about_ca_topic_score_gemma":0.009370849,"domain_scores_codex":[0.9961713,0.0005779326,0.000110472,0.0005125801,0.0019466,0.0006811926],"domain_scores_gemma":[0.984517,0.000789725,0.0004078598,0.001106277,0.008355291,0.004823823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003632609,0.0000482647,0.000132173,0.00006061769,0.000002790914,0.000009216831,0.00001864344,0.0000337228,0.0002173334,0.003073458,0.9617543,0.03461318],"study_design_scores_gemma":[0.00001275174,0.00001942844,0.0003459093,0.00005587172,0.000002916859,0.00001241784,0.00003226276,0.00005678741,0.0001778163,0.001142636,0.998138,0.000003225646],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00188111,0.002492045,0.007595516,0.03533434,0.02560401,0.002445641,0.01256298,0.002333971,0.9097503],"genre_scores_gemma":[0.001583298,0.0006399127,0.001392863,0.003553369,0.001730383,0.0006226007,0.003575827,0.0003754525,0.9865262],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4047819,"threshold_uncertainty_score":0.5773723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03595719490896727,"score_gpt":0.2085760084839876,"score_spread":0.1726188135750204,"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."}}