{"id":"W2560165616","doi":"10.7202/1038272ar","title":"Vous avez dit caucasien?","year":2016,"lang":"fr","type":"article","venue":"Alterstice Revue internationale de la recherche interculturelle","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Philosophy; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001799286,0.0004318909,0.0003246749,0.00005981797,0.0001278574,0.0001288825,0.0007788197,0.001455504,0.0004666404],"category_scores_gemma":[0.004604035,0.000372858,0.000468635,0.0001291659,0.0005671568,0.00002796657,0.000318553,0.0007577345,0.0003972318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008780334,"about_ca_system_score_gemma":0.0002783957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002124719,"about_ca_topic_score_gemma":0.0002583815,"domain_scores_codex":[0.9963148,0.001455539,0.0005443379,0.0008186635,0.0002481723,0.0006185521],"domain_scores_gemma":[0.9967391,0.001675375,0.0002554644,0.0006171216,0.0004211144,0.0002917571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002701478,0.0008015629,0.002066224,0.0003774324,0.00144083,0.0001756901,0.008263457,0.0002083817,0.6066713,0.007269686,0.1006718,0.2717835],"study_design_scores_gemma":[0.001045171,0.0003029628,0.0003253224,0.0006969215,0.0001724939,0.0007609215,0.001076007,0.000452005,0.06362813,0.002556243,0.9284016,0.0005822085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5128025,0.173436,0.1242617,0.07024643,0.009048015,0.001052541,0.0007874817,0.0001391738,0.108226],"genre_scores_gemma":[0.5058794,0.1081386,0.02158888,0.001876145,0.00441217,0.00008584306,0.0001208468,0.0001331493,0.357765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8277298,"threshold_uncertainty_score":0.9998723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06478733762436978,"score_gpt":0.3291762352184118,"score_spread":0.264388897594042,"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."}}