{"id":"W617339768","doi":"","title":"Physician Longitudinal Relationship between Participation in Physical Activity and Health","year":2015,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Probit model; Random effects model; Ordered probit; Physical activity; Population health; Probit; Panel data; Longitudinal study; Environmental health; Medicine; Population; Longitudinal data; Psychology; Econometrics; Demography; Economics; Physical therapy","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":[0.002483702,0.0004261429,0.0004522087,0.0005670662,0.0004263562,0.001348604,0.0009995269,0.001180023,0.009469746],"category_scores_gemma":[0.009560866,0.0004559344,0.0007680737,0.001126532,0.0004879808,0.0009618683,0.0007368195,0.001263197,0.001319274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097559,"about_ca_system_score_gemma":0.001562057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05170913,"about_ca_topic_score_gemma":0.03784134,"domain_scores_codex":[0.9993192,0.0002449662,0.00003628144,0.0001561945,0.00007435954,0.0001689433],"domain_scores_gemma":[0.9952603,0.002958459,0.0009382134,0.0003201877,0.0002851681,0.0002376517],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004182533,0.0006740823,0.7792807,0.0001303222,0.0005113482,0.0003640041,0.0005288599,0.1499981,0.0006429642,0.0283754,0.005385661,0.03369026],"study_design_scores_gemma":[0.0001959151,0.000667723,0.30414,0.0001329923,0.0004960044,0.0003323623,0.0005750745,0.6414781,0.0006298755,0.03838368,0.01287712,0.00009113424],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302371,0.001128989,0.04360331,0.004146234,0.0001102566,0.0001122878,0.01164722,0.0002393231,0.00877535],"genre_scores_gemma":[0.9791763,0.0005993046,0.00298815,0.0001471825,0.00005802544,0.0001097631,0.003815675,0.00002131175,0.01308444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05170913,"threshold_uncertainty_score":0.1028163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2641791496992492,"score_gpt":0.5020144033304839,"score_spread":0.2378352536312347,"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."}}