{"id":"W3093150445","doi":"10.70252/mtcy9871","title":"The Impact of Formal Strength and Conditioning on the Fitness of Law Enforcement Recruits: A Retrospective Cohort Study","year":2020,"lang":"en","type":"article","venue":"International journal of exercise science","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Smiths Detection (Canada)","funders":"","keywords":"Retrospective cohort study; Conditioning; Cohort; Law enforcement; Medicine; Psychology; Law; Political science; Internal medicine; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002480994,0.00007406599,0.0001847826,0.00007703276,0.0006690306,0.00002115913,0.0005374948,0.0000221345,0.0001428387],"category_scores_gemma":[0.0005624226,0.00003717799,0.00005499306,0.0002204791,0.000367515,0.0004340036,0.0001095821,0.0003366321,0.000003071541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929485,"about_ca_system_score_gemma":0.0006886436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002925038,"about_ca_topic_score_gemma":0.00001801676,"domain_scores_codex":[0.997875,0.00009007568,0.0006547612,0.0001017763,0.001087923,0.0001904875],"domain_scores_gemma":[0.9968314,0.0005813235,0.0008927582,0.0001000906,0.001479348,0.0001151142],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001429036,0.0001365625,0.9408118,0.00002327549,0.00007039934,0.000002683968,0.009251351,0.0005884509,0.0001790135,0.04566222,0.0004396151,0.001405625],"study_design_scores_gemma":[0.0008393722,0.0011286,0.9904233,0.0003903268,0.00001381833,0.000003386387,0.003421011,0.002380453,0.0004070183,0.0008254265,0.000118606,0.00004871164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944492,0.00004301918,0.00004197855,0.0007463324,0.0004095849,0.0005117012,0.00004837917,0.000002398874,0.003747418],"genre_scores_gemma":[0.9994842,0.0001320869,0.00003966845,0.0001809792,0.0001206252,0.00001509875,0.000001330856,0.000003217524,0.00002279588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0496115,"threshold_uncertainty_score":0.5145711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06574350392691633,"score_gpt":0.456721238835566,"score_spread":0.3909777349086497,"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."}}