{"id":"W4235632106","doi":"10.21991/c9r95s","title":"Table of Contents","year":2017,"lang":"en","type":"article","venue":"Constitutional Forum / Forum constitutionnel","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Database; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008964929,0.0009378546,0.001203511,0.006313425,0.001761934,0.005466933,0.001497346,0.001601479,0.856337],"category_scores_gemma":[0.007305271,0.0004819751,0.0006977128,0.004730798,0.0003295273,0.002235673,0.001843065,0.00137044,0.7427056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001729343,"about_ca_system_score_gemma":0.00289027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052796,"about_ca_topic_score_gemma":0.00635698,"domain_scores_codex":[0.9991859,0.00008235585,0.00004054685,0.0001109944,0.0005005853,0.00007968315],"domain_scores_gemma":[0.9944645,0.0009582234,0.0002656734,0.0002848268,0.002972765,0.001054045],"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":[0.00001369243,0.00002190154,0.00004729858,0.0001303417,0.000001767659,0.00001131574,0.000004299011,0.00003252408,0.00005429489,0.0003624587,0.9800009,0.0193192],"study_design_scores_gemma":[0.00001586331,0.00001315003,0.0004845369,0.0001823833,0.000003967465,0.00002136224,0.00002319203,0.0000432775,0.00008645011,0.0008814409,0.9982378,0.000006495901],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005358083,0.005079542,0.001327804,0.007687275,0.04185997,0.0009679671,0.07380171,0.002216949,0.866523],"genre_scores_gemma":[0.001442289,0.002416737,0.0007936485,0.00246843,0.01046088,0.0003875527,0.02282181,0.000886769,0.9583219],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.143663,"threshold_uncertainty_score":0.2049178,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05834233120001017,"score_gpt":0.2357391205611144,"score_spread":0.1773967893611042,"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."}}