{"id":"W52354453","doi":"10.1017/cbo9781139979573","title":"Cause and Correlation in Biology","year":2016,"lang":"en","type":"book","venue":"Cambridge University Press eBooks","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":754,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Jargon; Multivariate statistics; Path analysis (statistics); Statistical hypothesis testing; Context (archaeology); Computer science; Data science; Statistics; Mathematics; Biology; Linguistics; Machine learning","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":[],"consensus_categories":[],"category_scores_codex":[0.00004954437,0.0001897268,0.0001750235,0.0000700091,0.00004403342,0.000006443657,0.0001751254,0.0004888152,0.000001245393],"category_scores_gemma":[0.00001115386,0.0001943917,0.00004706898,0.00000466222,0.0002168933,0.000001714896,0.0002151411,0.0001457924,0.000002977036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004516435,"about_ca_system_score_gemma":0.0001472792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002152335,"about_ca_topic_score_gemma":0.000006111553,"domain_scores_codex":[0.9992054,0.00005950965,0.0001100686,0.0004006391,0.00004642742,0.0001779154],"domain_scores_gemma":[0.9995043,0.00002087587,0.0000873526,0.0002748397,0.00003945139,0.00007319262],"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":[0.000233971,0.0000192143,0.0005051396,0.0000675843,0.0001425529,0.00001541237,0.0000409003,0.00001297447,0.002621755,0.9205049,0.07174239,0.004093238],"study_design_scores_gemma":[0.0008931408,0.0001797372,0.002354844,0.00006824287,0.00005941749,0.00001248347,0.000008651742,0.000003734699,0.0004408804,0.0001112855,0.9955458,0.0003217733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009699304,0.0005479889,0.003628416,0.000009128389,0.0002132879,0.0002641031,0.0002003584,0.00001369495,0.9854237],"genre_scores_gemma":[0.007527099,0.0001450923,0.0003544099,0.00003514534,0.0001644936,9.586563e-7,0.0001532337,0.0000207276,0.9915988],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9238034,"threshold_uncertainty_score":0.7927063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199498888704964,"score_gpt":0.2114163940030076,"score_spread":0.199421405115958,"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."}}