{"id":"W4301032813","doi":"","title":"Do physiological measures predict selected CrossFit® benchmark performance?","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Benchmark (surveying); Computer science; Environmental science; Geography; Cartography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003160531,0.000468031,0.0007617379,0.0002539336,0.0005045299,0.000713136,0.002787708,0.0002031474,0.02357741],"category_scores_gemma":[0.0009497172,0.0003909265,0.0001409898,0.001289445,0.0006339981,0.003143825,0.001865842,0.0007880009,0.0003750354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005571215,"about_ca_system_score_gemma":0.0001514334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007739382,"about_ca_topic_score_gemma":0.00004246635,"domain_scores_codex":[0.9948658,0.0006801154,0.0009250094,0.000971098,0.001669065,0.0008889435],"domain_scores_gemma":[0.9973826,0.0002278207,0.0007292928,0.0006897195,0.0001226393,0.0008478898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001842206,0.0003081606,0.8567907,0.00002688365,0.00006729481,0.00002652076,0.0003171657,0.001674999,0.0723287,0.000002543346,0.04541079,0.02286208],"study_design_scores_gemma":[0.0007242366,0.00005457329,0.9713035,0.0001563766,0.00004542838,0.00002043898,0.00008467915,0.0004761772,0.01290559,0.0009128064,0.01283108,0.0004851586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979553,0.002256994,0.0002470963,0.0001251,0.0003150514,0.000772379,0.00003099431,0.00006703278,0.01663228],"genre_scores_gemma":[0.9939167,0.004499603,0.0003381437,0.0006154838,0.0001892359,0.0000782428,0.00002066875,0.00005393559,0.0002880169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1145128,"threshold_uncertainty_score":0.9998543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2958840163847515,"score_gpt":0.5127086358721603,"score_spread":0.2168246194874088,"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."}}