{"id":"W7014435137","doi":"","title":"Philippe Gendreau, GAFAM, le monstre à cinq têtes, Montréal, Écosociété, Collection Radar, 2023, 160 pages","year":2023,"lang":"fr","type":"article","venue":"Érudit (Université de Montréal)","topic":"Migration and Exile Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Presentation (obstetrics); Shadow (psychology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001154752,0.00169553,0.001190955,0.003605729,0.002321861,0.004805044,0.001865693,0.002170826,0.1988532],"category_scores_gemma":[0.002411225,0.0005902076,0.0004077616,0.008667119,0.001118404,0.003389281,0.00176117,0.002412769,0.05847185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01287373,"about_ca_system_score_gemma":0.009525265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5760649,"about_ca_topic_score_gemma":0.6672948,"domain_scores_codex":[0.9992402,0.00009610238,0.00002906529,0.0001378261,0.0003890818,0.0001078304],"domain_scores_gemma":[0.9984363,0.0002752845,0.00009826465,0.00005705249,0.0008368944,0.0002962367],"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":[0.0000123275,0.000005672235,0.0001449217,0.0002599404,0.000004224552,0.00002177769,0.0001159625,0.00003934114,0.00005987673,0.001398604,0.9677482,0.03018922],"study_design_scores_gemma":[0.00000529104,0.000004304146,0.001737105,0.0002701307,0.000005027917,0.00005434098,0.0002350482,0.00002518441,0.00005288299,0.0003329925,0.9972682,0.000009437599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006394032,0.8040696,0.0009041482,0.05590897,0.03308746,0.00006353946,0.003388529,0.0004798372,0.1014585],"genre_scores_gemma":[0.01092695,0.3814943,0.001178172,0.005156818,0.01208594,0.00009543098,0.002391205,0.0006131906,0.586058],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5760649,"threshold_uncertainty_score":0.8528634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01637925252966749,"score_gpt":0.2086038046387318,"score_spread":0.1922245521090644,"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."}}