{"id":"W4248106911","doi":"10.1503/cmaj.121328","title":"Statistics 101","year":2013,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King's College London; National Institute for Health and Care Research","keywords":"Medical statistics; Association (psychology); Computer science; Medicine; Library science; Psychology; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007472846,0.001297059,0.001357096,0.007876744,0.001296942,0.005333612,0.001906639,0.002201726,0.3076949],"category_scores_gemma":[0.06426389,0.001055021,0.00117724,0.009541316,0.0009309146,0.002784098,0.001930405,0.004788311,0.3141041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002789113,"about_ca_system_score_gemma":0.008209441,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006655497,"about_ca_topic_score_gemma":0.006367917,"domain_scores_codex":[0.9884138,0.002909347,0.002064209,0.001019745,0.005261542,0.0003314981],"domain_scores_gemma":[0.9414365,0.0199269,0.003224441,0.007224052,0.02645725,0.001730841],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009541153,0.0000120858,0.0002595179,0.0001085313,0.000006729776,0.00001370909,0.00001495323,0.00006323641,0.00003201595,0.001513404,0.9705368,0.02742957],"study_design_scores_gemma":[0.00002047654,0.00001905975,0.001351624,0.0005014443,0.000006460508,0.00008387452,0.00004561592,0.0002096502,0.00007683646,0.003042941,0.9946261,0.00001578246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.001177542,0.01267062,0.03622596,0.04900415,0.01990506,0.002483726,0.28813,0.01765188,0.572751],"genre_scores_gemma":[0.0146662,0.02229732,0.04509354,0.027383,0.01261935,0.009561229,0.4062154,0.007230542,0.4549335],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9925271,"threshold_uncertainty_score":0.9874892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05779043128076323,"score_gpt":0.4458607358858226,"score_spread":0.3880703046050594,"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."}}