{"id":"W1994171256","doi":"10.1519/jsc.0b013e31825d7ff9","title":"The Development of a Preselection Physical Fitness Training Program for Canadian Special Operations Regiment Applicants","year":2012,"lang":"en","type":"article","venue":"The Journal of Strength and Conditioning Research","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces","funders":"United States Special Operations Command","keywords":"Physical fitness; Preparedness; Selection (genetic algorithm); Task (project management); Psychology; Physical therapy; Computer science; Medicine; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0009320945,0.0002509699,0.0001379077,0.0006778002,0.001998862,0.0004450926,0.0008187867,0.0002507023,0.004171837],"category_scores_gemma":[0.002311829,0.0001403406,0.0001629067,0.0004885917,0.0003289431,0.0002337854,0.0008016878,0.0005008247,0.0003465112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005432799,"about_ca_system_score_gemma":0.02828823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6090347,"about_ca_topic_score_gemma":0.8840452,"domain_scores_codex":[0.9993696,0.00008432533,0.00002699382,0.00003625549,0.000259771,0.0002230753],"domain_scores_gemma":[0.9987463,0.00007447221,0.0001441299,0.00002149247,0.0004216089,0.0005920169],"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":[0.0003833069,0.003436153,0.4765649,0.0004354519,0.00003840656,0.0004163703,0.002696225,0.001168149,0.005432258,0.0005971451,0.02901541,0.4798162],"study_design_scores_gemma":[0.00008834023,0.0009930304,0.98051,0.0001716533,0.00001825411,0.0000957095,0.002916451,0.0009755017,0.0006293947,0.00008651517,0.01348296,0.00003231223],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9808778,0.0005382966,0.001151702,0.002752479,0.0001050157,0.001518445,0.0003107341,0.00005742109,0.0126882],"genre_scores_gemma":[0.9822614,0.001255801,0.008265141,0.000928427,0.0001016097,0.0006342442,0.0008555893,0.00001339812,0.005684407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3909653,"threshold_uncertainty_score":0.7865356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1653570800671295,"score_gpt":0.5103354742087739,"score_spread":0.3449783941416443,"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."}}