{"id":"W4256496727","doi":"10.7202/1043168ar","title":"Volume 62 Index","year":2017,"lang":"fr","type":"article","venue":"McGill Law Journal","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Volume (thermodynamics); Political science; Computer science; Thermodynamics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001323083,0.0002427762,0.0005980075,0.0001283212,0.01097417,0.001274978,0.0009671807,0.0001932002,0.03810649],"category_scores_gemma":[0.000174167,0.0003073525,0.0003654532,0.00004511024,0.0008134923,0.001411685,0.000426692,0.000506491,0.04890984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003165458,"about_ca_system_score_gemma":0.000007531127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0025905,"about_ca_topic_score_gemma":0.001541451,"domain_scores_codex":[0.9978933,0.00001916088,0.0008073859,0.0004876305,0.00006285252,0.0007296378],"domain_scores_gemma":[0.9975783,0.00002268593,0.00131291,0.0007416948,0.00008287939,0.0002615339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001786181,0.000113503,0.03142849,0.00002420582,0.000314455,0.00009660458,0.0001434482,0.00008346254,2.044488e-7,0.6917921,0.2635359,0.01244983],"study_design_scores_gemma":[0.0008501741,0.00004744205,0.01413246,0.00006635437,0.00002352998,0.0001271089,0.0002108188,0.001148641,0.000005012016,0.008953073,0.9740738,0.0003615897],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001762467,0.007195846,0.0001057052,0.006430531,0.04362156,0.00008429038,0.00138766,0.00001285338,0.9393991],"genre_scores_gemma":[0.4412552,0.002414624,0.0002643882,0.0002981153,0.0009194315,0.000002300367,0.000001511807,0.00002409871,0.5548204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7105379,"threshold_uncertainty_score":0.9999378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05234847350833231,"score_gpt":0.2287896182003593,"score_spread":0.176441144692027,"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."}}