{"id":"W295371125","doi":"10.1503/cmaj.109-3162","title":"Olympic tears","year":2010,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Sports, Gender, and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Torch; Tears; Geography; Cover (algebra); Medicine; Optometry; History; Engineering; Surgery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0008844074,0.001010887,0.0005144528,0.001152573,0.005119992,0.003811547,0.0008912953,0.001597921,0.2001148],"category_scores_gemma":[0.004058954,0.0003179535,0.0005631257,0.0008050424,0.0007785551,0.001669417,0.004819438,0.002951276,0.0606257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795831,"about_ca_system_score_gemma":0.002167851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360873,"about_ca_topic_score_gemma":0.04774265,"domain_scores_codex":[0.9988028,0.0001493271,0.00006348908,0.0001337249,0.0004315714,0.0004190586],"domain_scores_gemma":[0.9982131,0.00006065031,0.00009293565,0.00008551205,0.0005836459,0.0009641745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000592833,0.00002332393,0.0007968913,0.00009096996,0.00001117101,0.0001420389,0.0004407024,0.00001521842,0.00008898213,0.002600257,0.9729322,0.02279885],"study_design_scores_gemma":[0.00001033446,0.00002692446,0.00268439,0.0001205342,0.000004073772,0.0001271645,0.001013416,0.000009120368,0.00003322709,0.0003957055,0.9955706,0.000004641058],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01175262,0.009806942,0.0006251526,0.04925651,0.07002786,0.0002127511,0.003503237,0.0007032222,0.8541117],"genre_scores_gemma":[0.05553818,0.006931962,0.0006189678,0.02186536,0.01180777,0.0001787792,0.003626637,0.0004525463,0.8989798],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2001148,"threshold_uncertainty_score":0.6694505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009851628721021728,"score_gpt":0.263646710467098,"score_spread":0.2537950817460762,"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."}}