{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002385196,0.00002268313,0.00004791232,0.00002859372,0.0005406974,0.000009812657,0.00005521691,0.00001479301,0.000005652766],"category_scores_gemma":[0.0001070926,0.00001872989,0.00001031779,0.0003124957,0.0004835934,0.00004903303,0.00001617878,0.00004172383,8.566155e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688398,"about_ca_system_score_gemma":0.0007511631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005249836,"about_ca_topic_score_gemma":0.002505979,"domain_scores_codex":[0.9996105,0.000009962418,0.0000425672,0.00008247967,0.000148839,0.0001056169],"domain_scores_gemma":[0.9996256,0.00001111077,0.00002475635,0.00003467498,0.0001167411,0.0001870881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005833147,0.000004867703,0.9323567,0.0000190281,0.000009168476,0.000006376673,0.01102952,3.152631e-8,0.0001814974,0.006543216,0.007913403,0.0418779],"study_design_scores_gemma":[0.00007028387,0.0000469165,0.8479998,0.000008694468,0.00001590723,0.000001930088,0.03763479,0.000004774335,0.0001431773,0.00005196219,0.1139813,0.00004042468],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9474528,0.00007521435,0.00000214524,0.01299195,0.000160599,0.00009649573,0.000003482502,0.000006556286,0.03921076],"genre_scores_gemma":[0.9988504,0.00008588199,0.00001061112,0.0008852205,0.00006651413,2.826705e-7,2.44424e-7,9.245485e-7,0.00009992978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1060679,"threshold_uncertainty_score":0.7936217,"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."}}