{"id":"W4231426925","doi":"10.4000/alsic.3373","title":"Sélection de parutions 2017","year":2018,"lang":"fr","type":"article","venue":"Alsic","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003078402,0.00008415348,0.0001107462,0.00002309483,0.001584595,0.00004885375,0.0001197278,0.0001320444,0.000686668],"category_scores_gemma":[0.0001236137,0.00009372202,0.00007937236,0.0003680781,0.001659379,0.0001457385,0.00002941013,0.00009976375,0.001553241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003959755,"about_ca_system_score_gemma":0.0001437573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02467364,"about_ca_topic_score_gemma":0.02817899,"domain_scores_codex":[0.9990159,0.0001599459,0.0001080213,0.0001487901,0.0001579524,0.0004094384],"domain_scores_gemma":[0.9995714,0.00007493459,0.00005281646,0.00009245034,0.0001044777,0.000103922],"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":[0.000001636616,0.00005868171,0.0008682067,0.000004527903,0.00004560274,0.000002147235,0.02887974,4.295496e-7,0.00004075878,0.2974985,0.6406364,0.0319633],"study_design_scores_gemma":[0.00007815445,0.00007604321,0.009725893,0.00002183866,0.00004255217,0.000001156323,0.001742396,0.00003697876,0.00006255426,0.04053824,0.9475585,0.0001157572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09328277,0.03780168,0.0004231079,0.02303624,0.01113998,0.0001527027,0.00001106857,0.0001018415,0.8340506],"genre_scores_gemma":[0.7761903,0.003430771,0.0001846163,0.0005664442,0.005663398,0.00001048207,0.000001152385,0.000006589991,0.2139463],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6829075,"threshold_uncertainty_score":0.9997152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106881982871605,"score_gpt":0.3414862513711823,"score_spread":0.2346042684995774,"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."}}