{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008760098,0.0004922906,0.0005200724,0.00004745059,0.0006508587,0.001545619,0.003303858,0.0006251543,0.0006316334],"category_scores_gemma":[0.001028249,0.0003810496,0.0002069404,0.0003525165,0.00201168,0.004176806,0.004211629,0.000666363,0.002171003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001478927,"about_ca_system_score_gemma":0.0007899328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005690632,"about_ca_topic_score_gemma":0.00008692656,"domain_scores_codex":[0.9963397,0.0003631748,0.0004613444,0.001225323,0.0004587281,0.001151702],"domain_scores_gemma":[0.9963653,0.0005401561,0.0002263076,0.002134884,0.0003603185,0.0003730529],"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":[0.00001598345,0.0003695137,0.0002816332,0.00004986321,0.0002775846,0.0001264404,0.01386127,0.00001339254,0.001020217,0.2506129,0.3864819,0.3468893],"study_design_scores_gemma":[0.001169389,0.001040198,0.006086484,0.0001482926,0.0001092325,0.0001407806,0.002428498,0.007889367,0.0008527572,0.4176212,0.5611615,0.001352287],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04756326,0.03416213,0.07848217,0.3790347,0.05278172,0.0009895484,0.001309014,0.001228459,0.404449],"genre_scores_gemma":[0.9393846,0.001816594,0.002717032,0.009157406,0.002861344,0.000008172327,0.0002383752,0.00003734385,0.04377909],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8918214,"threshold_uncertainty_score":0.9998642,"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."}}