{"id":"W6926182375","doi":"10.24443/usi-arc-bib_fcor.3434","title":"Montréal","year":2005,"lang":"fr","type":"other","venue":"USI-Biblioteca","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0004301161,0.001483265,0.0009227088,0.001898834,0.003235297,0.005548572,0.001450108,0.001316486,0.8144596],"category_scores_gemma":[0.001099346,0.0005218521,0.0005538173,0.002579369,0.0007205825,0.001648485,0.001541103,0.001645637,0.5089499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003456349,"about_ca_system_score_gemma":0.002833621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1162158,"about_ca_topic_score_gemma":0.2646549,"domain_scores_codex":[0.9992679,0.00006327391,0.00001912748,0.000291032,0.0002446865,0.0001140064],"domain_scores_gemma":[0.9994519,0.00008159636,0.0000326031,0.00008218741,0.0002364084,0.0001152027],"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":[0.0001432278,0.00007588202,0.0009445535,0.000290598,0.00002857727,0.0003784448,0.0002789637,0.0004992667,0.001621783,0.05710719,0.628975,0.3096566],"study_design_scores_gemma":[0.000009047563,0.000007318608,0.000827002,0.00006485502,0.000004816911,0.0000796356,0.00007308763,0.00006299257,0.0002242391,0.001053832,0.9975865,0.00000673662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001001514,0.005960088,0.00131996,0.001358859,0.0008447041,0.00003372597,0.005760195,0.0007025081,0.9830185],"genre_scores_gemma":[0.002397433,0.001622057,0.0006417166,0.0001259432,0.00005158917,0.00001391834,0.0012054,0.0001695325,0.9937724],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8837842,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006005541970994994,"score_gpt":0.2257060263222566,"score_spread":0.2197004843512616,"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."}}