{"id":"W7033907440","doi":"","title":"Stratification by performance discipline may lead to false positive associations in Quarter Horses","year":2019,"lang":"en","type":"dataset","venue":"Figshare","topic":"Urbanism, Landscape, and Tourism Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Stratification (seeds); Breed; Population; False positive paradox; Association (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":[0.006749965,0.0009868974,0.001192659,0.002291012,0.001321025,0.002073074,0.001785289,0.001790481,0.01577841],"category_scores_gemma":[0.03474097,0.0004875459,0.002014759,0.003874958,0.000683084,0.001029052,0.001714026,0.001255584,0.006989745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008494318,"about_ca_system_score_gemma":0.001145723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01581737,"about_ca_topic_score_gemma":0.05658438,"domain_scores_codex":[0.99404,0.002384556,0.001207455,0.001303878,0.0006319683,0.0004321166],"domain_scores_gemma":[0.9854174,0.008116346,0.002161476,0.002963461,0.001077998,0.0002632791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001212105,0.0001115803,0.3193905,0.004434965,0.00189627,0.0003655801,0.0004050666,0.001481284,0.0009889017,0.00207401,0.6379569,0.02968299],"study_design_scores_gemma":[0.001043229,0.000196951,0.4091924,0.001911254,0.001815584,0.001045637,0.0005289484,0.004023293,0.001560059,0.007870302,0.5706682,0.0001442697],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0338563,0.002942302,0.003015772,0.002121799,0.0005376063,0.0001330555,0.9520808,0.0009372414,0.004375179],"genre_scores_gemma":[0.08018593,0.000735485,0.00548625,0.001457963,0.0001629402,0.0007324689,0.9064893,0.0003705342,0.004379269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01581737,"threshold_uncertainty_score":0.05278409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04061805254169871,"score_gpt":0.3240792950582164,"score_spread":0.2834612425165177,"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."}}