{"id":"W2169171074","doi":"10.1136/bjsports-2012-092059","title":"An observational method to code concussions in the National Hockey League (NHL): the heads-up checklist","year":2013,"lang":"en","type":"article","venue":"British Journal of Sports Medicine","topic":"Traumatic Brain Injury Research","field":"Medicine","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Toronto","funders":"University of Toronto","keywords":"Concussion; Ice hockey; Checklist; Medicine; Football; Observational study; Poison control; Physical therapy; League; Injury prevention; Psychology; Physical medicine and rehabilitation; Medical emergency; Internal medicine; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05833078,0.001371703,0.001477469,0.006477152,0.001823624,0.001333869,0.002881499,0.001165498,0.002806741],"category_scores_gemma":[0.1261818,0.000870778,0.001754402,0.003092902,0.001822022,0.001931831,0.003699271,0.001431589,0.00101178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002421553,"about_ca_system_score_gemma":0.008148607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005689953,"about_ca_topic_score_gemma":0.01440536,"domain_scores_codex":[0.9204682,0.04485133,0.01709989,0.00403774,0.01236423,0.001178718],"domain_scores_gemma":[0.8285185,0.0580417,0.03026207,0.01482967,0.06527118,0.003076885],"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":[0.002840664,0.002858361,0.4018101,0.005896437,0.0008300228,0.0008076004,0.03607177,0.003691023,0.01898028,0.002739309,0.04369902,0.4797754],"study_design_scores_gemma":[0.002047658,0.008251066,0.8496605,0.002817706,0.0006009148,0.00195934,0.029485,0.02460252,0.01656379,0.003693107,0.05929175,0.001026628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5553831,0.001027974,0.3219307,0.001149274,0.001016028,0.09793907,0.006845959,0.001967978,0.01274],"genre_scores_gemma":[0.5153385,0.0009613342,0.3751025,0.0006386339,0.0002911069,0.09975747,0.004635313,0.0002422084,0.003032967],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05833078,"threshold_uncertainty_score":0.3084863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596206134240565,"score_gpt":0.4318653150320623,"score_spread":0.2722447016080057,"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."}}