{"id":"W2899168340","doi":"10.7202/1052640ar","title":"Le pouvoir « divinatoire » des algorithmes","year":2018,"lang":"fr","type":"article","venue":"Anthropologie et Sociétés","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","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","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0006605667,0.0003309619,0.0006052667,0.00008167623,0.001905358,0.0000470897,0.0002938633,0.0003357802,0.01954583],"category_scores_gemma":[0.001676307,0.0002835574,0.0002668547,0.0004925122,0.0159645,0.0002147121,0.0003442482,0.0004093234,0.002056062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003748457,"about_ca_system_score_gemma":0.0005169123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001597494,"about_ca_topic_score_gemma":0.0002608245,"domain_scores_codex":[0.9973299,0.0002385809,0.0003913364,0.0006271098,0.0003901207,0.001022951],"domain_scores_gemma":[0.9982457,0.0004332926,0.00007574886,0.0004603846,0.0005160234,0.000268901],"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":[0.00002638174,0.0006625996,0.001752975,0.0001308688,0.0002093788,0.0001613613,0.003951084,1.711801e-7,0.0004412238,0.01698214,0.6758769,0.299805],"study_design_scores_gemma":[0.001038894,0.001131576,0.004518215,0.0002763382,0.0001940807,0.00005140894,0.03789929,0.0001228304,0.004483174,0.01270878,0.9371382,0.0004372122],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01516881,0.1045891,0.004212738,0.26974,0.1440274,0.0004743221,0.0001203921,0.0004457543,0.4612215],"genre_scores_gemma":[0.6839944,0.01962047,0.003031964,0.002238594,0.002971158,0.00002496277,0.00001634613,0.00004917666,0.288053],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6688256,"threshold_uncertainty_score":0.9999617,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2411659928298329,"score_gpt":0.5389076162041554,"score_spread":0.2977416233743225,"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."}}