{"id":"W4283378124","doi":"10.1371/journal.pone.0269889","title":"Tooth for a tooth: Does fighting serve as a deterrent to greater violence in the modern NHL","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Doping in Sports","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dentistry; Poison control; Medicine; Medical emergency","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.001090925,0.0001337147,0.0002191474,0.0006029963,0.000747802,0.001763963,0.0004704917,0.0005908509,0.005815541],"category_scores_gemma":[0.007549581,0.0001918357,0.0002712635,0.0002945575,0.002344574,0.001298989,0.0009361138,0.0009093852,0.0003899922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009174738,"about_ca_system_score_gemma":0.0009073901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01372478,"about_ca_topic_score_gemma":0.02867242,"domain_scores_codex":[0.9993631,0.0002346568,0.00002472571,0.0001157826,0.0001366057,0.0001250753],"domain_scores_gemma":[0.9960302,0.001329368,0.001653807,0.0002697264,0.0002008872,0.0005160205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005876866,0.002365104,0.9121609,0.0001764017,0.000119941,0.0001279318,0.004767192,0.0002345474,0.003140877,0.01829924,0.002072508,0.05594762],"study_design_scores_gemma":[0.00002451738,0.0004956654,0.9889576,0.00005200274,0.00002276613,0.00006706762,0.004304652,0.0003043143,0.0004517669,0.002225801,0.00308147,0.00001245833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885325,0.0002701266,0.0002534364,0.002370596,0.00003142806,0.0000127956,0.00003891818,0.000004183971,0.008485986],"genre_scores_gemma":[0.9971884,0.0001667815,0.0002362733,0.0005191062,0.00002059369,0.000009402394,0.00002834459,0.000002529554,0.001828589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372478,"threshold_uncertainty_score":0.02728975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07812906383630858,"score_gpt":0.3026179584788874,"score_spread":0.2244888946425788,"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."}}