{"id":"W2216278030","doi":"","title":"Les nombres, la machine, et au-delà. Le Mois Multi 9e édition (in_ex). Québec. Février et septembre 2008Le Mois Multi 9e édition (in_ex). Québec. Février et septembre 2008","year":2008,"lang":"fr","type":"article","venue":"ETC","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0009483117,0.001532539,0.00121123,0.000408598,0.001630288,0.001653748,0.001349395,0.0009526707,0.001087719],"category_scores_gemma":[0.0005035562,0.001367508,0.0008604988,0.001053017,0.001166563,0.009283431,0.0008589535,0.001625591,0.002091686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009261024,"about_ca_system_score_gemma":0.003542153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6385084,"about_ca_topic_score_gemma":0.4683123,"domain_scores_codex":[0.9922404,0.00122846,0.001495546,0.001966384,0.001294384,0.001774868],"domain_scores_gemma":[0.994855,0.0007097933,0.0007948274,0.001634143,0.00082159,0.001184584],"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":[0.000222481,0.003747768,0.002842024,0.0004197989,0.0004906176,0.001689471,0.04529987,0.01163541,0.002317542,0.01546353,0.8866253,0.02924621],"study_design_scores_gemma":[0.00377616,0.0004368947,0.05625363,0.0006549798,0.0001125697,0.001804029,0.0004851489,0.05003221,0.001459423,0.000486252,0.8824215,0.002077228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2033663,0.07258039,0.1915409,0.1066847,0.01117915,0.005419378,0.008148443,0.003475651,0.397605],"genre_scores_gemma":[0.6450624,0.002230688,0.0142737,0.01168765,0.0008422737,0.0001538857,0.001380145,0.0002789485,0.3240903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4416961,"threshold_uncertainty_score":0.9998254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1715148887031261,"score_gpt":0.3197157357490785,"score_spread":0.1482008470459525,"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."}}