{"id":"W2790561499","doi":"10.3917/riges.431.0090","title":"Mégadonnées – Les patrouilles de l’avenir ; comment votre voiture deviendra autonome","year":2018,"lang":"fr","type":"article","venue":"Gestion","topic":"French Urban and Social Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0009434228,0.000428851,0.0002312389,0.0005142826,0.003549437,0.0037358,0.0006726005,0.001701464,0.01433812],"category_scores_gemma":[0.002913065,0.000244278,0.0002543523,0.000662466,0.005070144,0.003393213,0.00229948,0.001698442,0.002136587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001941087,"about_ca_system_score_gemma":0.001445887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01876795,"about_ca_topic_score_gemma":0.04516514,"domain_scores_codex":[0.9990049,0.0004048509,0.0000287287,0.0002032006,0.0002302307,0.0001281088],"domain_scores_gemma":[0.9991468,0.0003098057,0.0001920209,0.0001182511,0.0001337216,0.00009932914],"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":[0.000184786,0.00004196183,0.0178671,0.000402616,0.00004771879,0.002490096,0.1222355,0.001153482,0.007829742,0.6488785,0.03550182,0.1633667],"study_design_scores_gemma":[0.000009038769,0.0000829261,0.01926444,0.0002700755,0.0000127506,0.0018361,0.02914318,0.0005677027,0.001695108,0.03412256,0.912941,0.00005502124],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2609912,0.01312967,0.04047332,0.02655693,0.0009330204,0.00008606767,0.0005900338,0.0003446918,0.656895],"genre_scores_gemma":[0.8368731,0.004202401,0.009232124,0.001332276,0.0001675031,0.00005442624,0.0001592949,0.0001510804,0.1478278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01876795,"threshold_uncertainty_score":0.04796582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04581748845438827,"score_gpt":0.2698835648742189,"score_spread":0.2240660764198307,"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."}}