{"id":"W4323029263","doi":"10.4000/rsh.422","title":"Une Intelligence artificielle trop efficace","year":2021,"lang":"fr","type":"article","venue":"Revue des Sciences Humaines","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":["sts"],"category_scores_codex":[0.0004365046,0.0003322297,0.0003660288,0.00009874397,0.001618211,0.003858903,0.001105302,0.000119693,0.0002649836],"category_scores_gemma":[0.0005022246,0.000268553,0.0002194585,0.003634674,0.00400486,0.003146095,0.0005375835,0.000198455,0.0006017389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001099012,"about_ca_system_score_gemma":0.0003922033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00047155,"about_ca_topic_score_gemma":0.000687603,"domain_scores_codex":[0.9970216,0.0001411352,0.0005161949,0.0009705393,0.0004468313,0.0009036873],"domain_scores_gemma":[0.9980235,0.0002955547,0.0001690769,0.0006133136,0.0005188566,0.0003797363],"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":[0.000003641709,0.0002967802,0.00006836653,0.000175978,0.00001727109,0.0007225614,0.005566797,0.01180183,0.003139587,0.8460243,0.00270214,0.1294807],"study_design_scores_gemma":[0.0002079411,0.001168711,0.0008680234,0.001550633,0.00005466541,0.004521,0.002300234,0.243489,0.03850535,0.2546474,0.45131,0.001377083],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1015455,0.07067356,0.169375,0.03520671,0.006995793,0.0003620349,0.00002791721,0.0002981465,0.6155154],"genre_scores_gemma":[0.6570427,0.001581036,0.02311303,0.0008289427,0.0007818564,0.000006840283,0.000006352514,0.00001911462,0.3166201],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.591377,"threshold_uncertainty_score":0.9999767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4819222528387137,"score_gpt":0.3652566391777215,"score_spread":0.1166656136609922,"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."}}