{"id":"W2461609264","doi":"10.4000/itineraires.3124","title":"Étant donnée : une fable poétique sur le régime de notre identité numérique","year":2016,"lang":"fr","type":"article","venue":"Itinéraires","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Trois-Rivieres","funders":"","keywords":"Humanities; Art","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00025863,0.0003997808,0.000378572,0.00008571347,0.0002779617,0.001781972,0.0008264974,0.0002497365,0.0001730598],"category_scores_gemma":[0.0003300266,0.0002660525,0.0002464032,0.0005113331,0.000311777,0.005277954,0.0004475632,0.0001909757,0.0007093477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001838316,"about_ca_system_score_gemma":0.0006005556,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0359297,"about_ca_topic_score_gemma":0.01203924,"domain_scores_codex":[0.9973037,0.0001356453,0.0004764471,0.0006486193,0.0003755782,0.00106001],"domain_scores_gemma":[0.9980061,0.0002955269,0.0001967807,0.0006554489,0.000317368,0.0005287981],"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":[0.00003515787,0.000536349,0.001281755,0.0001524067,0.0000985216,0.00175966,0.007062179,0.0000634782,0.04836285,0.7464288,0.1400121,0.05420677],"study_design_scores_gemma":[0.001843023,0.0004168052,0.02256898,0.001920261,0.0000217259,0.001721046,0.0003221328,0.001907917,0.1153252,0.2994292,0.553151,0.001372689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4581446,0.00804248,0.05071817,0.2405181,0.002832116,0.0005548982,0.0001577148,0.0006306624,0.2384013],"genre_scores_gemma":[0.781068,0.0003104405,0.0008896764,0.001338025,0.0004919188,0.00001261402,0.000003344476,0.00003127833,0.2158547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4469996,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1231703939590346,"score_gpt":0.2741388693567092,"score_spread":0.1509684753976746,"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."}}