{"id":"W2941738088","doi":"10.1017/s0012217319000076","title":"Épigénétique : les écueils d’une transposition du biologique au social","year":2019,"lang":"fr","type":"article","venue":"Dialogue","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Humanities; Philosophy; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.0003890286,0.0003376574,0.0003405554,0.00003168829,0.0003297035,0.00003762411,0.0002632859,0.001245117,0.0001282567],"category_scores_gemma":[0.00004681138,0.0003600654,0.0004116473,0.000108762,0.0003959715,0.000006615533,0.00005233257,0.0003202914,0.0002394272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001019855,"about_ca_system_score_gemma":0.0002598721,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005758906,"about_ca_topic_score_gemma":0.0007441628,"domain_scores_codex":[0.9979758,0.0003732792,0.0003377723,0.0006245243,0.000131429,0.0005571566],"domain_scores_gemma":[0.9992478,0.00005378795,0.0001220522,0.0003535705,0.0001023212,0.0001204394],"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":[0.0008957996,0.001252961,0.07170631,0.0005155422,0.0007347835,0.0000407494,0.01362119,0.0007684595,0.7821382,0.02389301,0.02469082,0.07974216],"study_design_scores_gemma":[0.003436832,0.003003464,0.1285637,0.000139354,0.0001730714,0.00003258419,0.002091354,0.0001487752,0.3392812,0.002022271,0.5195396,0.001567773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720094,0.002421818,0.001664786,0.008239217,0.002065879,0.0004519779,0.0005674384,0.00002752718,0.01255195],"genre_scores_gemma":[0.9855019,0.00426069,0.0001594912,0.001627621,0.003182729,0.00002771843,0.001477283,0.00004893618,0.003713591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4948488,"threshold_uncertainty_score":0.9998851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008150454858420567,"score_gpt":0.2240370138476509,"score_spread":0.2158865589892303,"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."}}