{"id":"W3020883694","doi":"10.3968/11528","title":"The Reflection and Countermeasures of University Sports Injury Accident","year":2020,"lang":"en","type":"article","venue":"Canadian social science","topic":"Diverse Approaches in Healthcare and Education Studies","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accident (philosophy); Liability; Tort; Perspective (graphical); Sports injury; Legal liability; Law; Personal injury; Phenomenon; Legal responsibility; Reflection (computer programming); Business; Political science; Computer science; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.002139374,0.000322597,0.0001672292,0.001958044,0.003773341,0.001982732,0.001185355,0.002488246,0.004840246],"category_scores_gemma":[0.01129691,0.0001411679,0.0003703034,0.0005577371,0.002639727,0.0009973173,0.003373361,0.002418107,0.0005390474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002902834,"about_ca_system_score_gemma":0.009555125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01528243,"about_ca_topic_score_gemma":0.02246527,"domain_scores_codex":[0.9968664,0.001406497,0.0001357885,0.00017595,0.0009737696,0.0004415637],"domain_scores_gemma":[0.9975623,0.0006948618,0.0004556917,0.0002128692,0.0007039161,0.000370376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000142452,0.0006923295,0.02053613,0.0003869103,0.00004329412,0.002901343,0.05657468,0.001696202,0.006583095,0.3113791,0.06140295,0.5376616],"study_design_scores_gemma":[0.00007089035,0.0007278006,0.08032616,0.001644015,0.0001948601,0.003647484,0.1168326,0.004607503,0.0172404,0.08409187,0.6904463,0.0001701042],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3377298,0.01257553,0.02856157,0.1133301,0.00370474,0.0004492099,0.0000725923,0.000436242,0.5031402],"genre_scores_gemma":[0.9651353,0.002516031,0.004828546,0.003820491,0.0003019174,0.00005702607,0.00002086724,0.00001791228,0.02330194],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01528243,"threshold_uncertainty_score":0.03038692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07317825401812802,"score_gpt":0.3282682951212906,"score_spread":0.2550900411031626,"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."}}