{"id":"W4230767933","doi":"10.7202/1038596ar","title":"Index du volume XLI","year":2016,"lang":"fr","type":"article","venue":"Voix et Images","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Index (typography); Computer science; World Wide Web","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":[0.0005814758,0.001776521,0.001784425,0.006757722,0.001980394,0.008434421,0.001295861,0.001408645,0.8626377],"category_scores_gemma":[0.00527876,0.0006606174,0.0008560576,0.007144358,0.0006225075,0.003374171,0.002243445,0.001775352,0.6978523],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001855889,"about_ca_system_score_gemma":0.001658453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004217863,"about_ca_topic_score_gemma":0.005198712,"domain_scores_codex":[0.9989147,0.0001244385,0.00006116231,0.0001805085,0.0006381148,0.00008104019],"domain_scores_gemma":[0.9980093,0.0005221402,0.0001663495,0.0002782347,0.000690956,0.0003331164],"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":[0.00003622876,0.00002610239,0.0001001828,0.0002602952,0.00000614111,0.00002082744,0.00001885457,0.00007050765,0.0001475357,0.002958126,0.9171533,0.07920195],"study_design_scores_gemma":[0.000009710624,0.000009944489,0.0002485994,0.000135366,0.000003182908,0.00004035003,0.00002326216,0.00005045077,0.00008598981,0.001001532,0.9983875,0.000004188801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005981903,0.01535887,0.001146804,0.003811796,0.03043685,0.0001627963,0.0124726,0.00157134,0.9344409],"genre_scores_gemma":[0.002097663,0.005829285,0.0006545201,0.0008052093,0.006505594,0.0001026675,0.004558844,0.0007196745,0.9787266],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1373623,"threshold_uncertainty_score":0.1959307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02278785800235279,"score_gpt":0.2058551652309374,"score_spread":0.1830673072285846,"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."}}