{"id":"W3034018911","doi":"","title":"Modality of three barrels of the quarter mile race: category analysis.","year":2018,"lang":"pt","type":"article","venue":"55ª Reunião Anual da Sociedade Brasileira de Zootecnia, 28º Congresso Brasileiro de Zootecnia, Goiânia, Brasil, 27 a 30 de agosto de 2018","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mile; Quarter (Canadian coin); Race (biology); Modality (human–computer interaction); Geography; Computer science; Artificial intelligence; Archaeology; Sociology; Gender studies; Geodesy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.007873133,0.002475769,0.005176781,0.002012985,0.001609121,0.0008065539,0.005600445,0.003448803,0.004703782],"category_scores_gemma":[0.001514368,0.00257609,0.003649824,0.005392249,0.005152462,0.001258173,0.001463677,0.003372588,0.0006708851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002339835,"about_ca_system_score_gemma":0.002864088,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01657223,"about_ca_topic_score_gemma":0.006719126,"domain_scores_codex":[0.9838903,0.0009647904,0.005820777,0.003315803,0.001329257,0.004679094],"domain_scores_gemma":[0.9835842,0.0009988046,0.006473503,0.005972739,0.001263501,0.001707237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000435573,0.001314464,0.9402132,0.0008921581,0.004489026,0.00007877708,0.01070006,0.002962599,0.002719346,0.007208469,0.02811978,0.0008665771],"study_design_scores_gemma":[0.003443144,0.001105138,0.9111043,0.0005950212,0.002479419,0.0001252396,0.002141475,0.06189347,0.00427943,0.003667949,0.006353892,0.002811572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9627772,0.007458247,0.01521928,0.001648414,0.002608992,0.001987176,0.004902433,0.0002481689,0.003150079],"genre_scores_gemma":[0.9870626,0.001017744,0.001470317,0.002303906,0.001654803,0.0001366798,0.000227554,0.0004573512,0.005668989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05893087,"threshold_uncertainty_score":0.9997798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191058636502697,"score_gpt":0.2652158910965342,"score_spread":0.2333053047315072,"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."}}