{"id":"W2904989002","doi":"10.7202/1054273ar","title":"L’individu hypermoderne face aux big data","year":2018,"lang":"fr","type":"article","venue":"Sociologie et sociétés","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":5,"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01240378,0.0006671526,0.0006147968,0.003099377,0.005914303,0.01531402,0.001557629,0.003059692,0.006746983],"category_scores_gemma":[0.02020839,0.0007008433,0.0005331564,0.003333315,0.03079353,0.01849461,0.0114809,0.006426653,0.001552462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003615482,"about_ca_system_score_gemma":0.003757818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002671684,"about_ca_topic_score_gemma":0.003198613,"domain_scores_codex":[0.9915845,0.00388891,0.0002390198,0.001326145,0.002374739,0.000586643],"domain_scores_gemma":[0.982822,0.009032222,0.001343597,0.003848268,0.001732599,0.001221267],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006535629,0.00003592829,0.006990911,0.0002528003,0.00006148321,0.0005769133,0.05192307,0.0004835054,0.001791546,0.890772,0.01008788,0.03695858],"study_design_scores_gemma":[0.00001894696,0.00005324752,0.005173012,0.0003076719,0.00002822725,0.001216987,0.02680871,0.001739867,0.000949338,0.6302903,0.3333429,0.00007081138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2198751,0.0106085,0.1936557,0.1821591,0.003062495,0.0002648303,0.0009128562,0.000584226,0.3888772],"genre_scores_gemma":[0.9044147,0.005552521,0.03268638,0.01163032,0.002428564,0.000358817,0.0002992016,0.0004307928,0.04219873],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01531402,"threshold_uncertainty_score":0.06559825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9248181743735692,"score_gpt":0.5580247130967453,"score_spread":0.3667934612768239,"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."}}