{"id":"W2746019867","doi":"10.1186/s12917-017-1154-9","title":"Factors contributing to the variability of a predictive score for cranial cruciate ligament deficiency in Labrador Retrievers","year":2017,"lang":"en","type":"article","venue":"BMC Veterinary Research","topic":"Veterinary Orthopedics and Neurology","field":"Veterinary","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Kennel Club Canine Health Foundation","keywords":"Medicine; Cruciate ligament; Intraclass correlation; Kappa; Cohen's kappa; Pearson product-moment correlation coefficient; Population; Correlation; Orthodontics; Surgery; Anterior cruciate ligament; Mathematics; Statistics","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":[0.003120821,0.0003094315,0.0003509854,0.0009428777,0.000238541,0.0005838494,0.000411788,0.0004049782,0.0006019116],"category_scores_gemma":[0.01289129,0.0001430161,0.0002356691,0.0005393835,0.0004959168,0.0003291141,0.0003461391,0.0003037039,0.0001772136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002181955,"about_ca_system_score_gemma":0.0001089098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001309224,"about_ca_topic_score_gemma":0.001231449,"domain_scores_codex":[0.9978254,0.0007166375,0.0002840599,0.0005068679,0.000552872,0.0001142098],"domain_scores_gemma":[0.9890582,0.005489356,0.003426559,0.0008692019,0.0008275692,0.0003291836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008475918,0.00001110121,0.9975947,0.000005155439,0.00003463997,0.00004534622,0.0001096485,0.0001163617,0.0004428118,0.00001103396,0.00004189522,0.001502541],"study_design_scores_gemma":[0.000002740532,0.00006588433,0.9985566,0.000004167851,0.00001435554,0.0003088494,0.00008821217,0.0006957949,0.0001729443,0.00002871271,0.00005857002,0.000003233808],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991701,0.0001008251,0.0004782453,0.00001335907,0.000003489039,0.000003999989,0.0000554562,0.000006645907,0.0001679192],"genre_scores_gemma":[0.9996424,0.00001587153,0.0001885658,0.000006332863,0.000005598099,0.000004885301,0.00009674847,0.000002995141,0.00003672872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003120821,"threshold_uncertainty_score":0.0165047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4362866336226606,"score_gpt":0.4751645694754296,"score_spread":0.03887793585276905,"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."}}