{"id":"W7020157593","doi":"","title":"Labour market effects of sports and exercise: : Evidence from Canadian panel data","year":2015,"lang":"en","type":"other","venue":"Alexandria (UniSG) (University of St.Gallen)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Panel data; Identification (biology); Current Population Survey; Longitudinal data; Population; National Longitudinal Surveys; Physical activity; Survey data collection","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":[0.001594196,0.0006412911,0.0007564441,0.003024213,0.00143586,0.002004253,0.00166288,0.0007286967,0.01092381],"category_scores_gemma":[0.005621723,0.0003512542,0.001164573,0.009507804,0.0006321203,0.0004912051,0.000900339,0.000946094,0.001535612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01155364,"about_ca_system_score_gemma":0.02282513,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948147,"about_ca_topic_score_gemma":0.9970132,"domain_scores_codex":[0.9988238,0.0001088519,0.00006514791,0.0001316409,0.0005147423,0.0003558497],"domain_scores_gemma":[0.9956539,0.0007411524,0.0008303145,0.0003181843,0.001958049,0.0004983511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001696929,0.0003055914,0.7102554,0.001481343,0.001515227,0.000392353,0.001217604,0.004141312,0.0004124848,0.008246349,0.2030806,0.06725483],"study_design_scores_gemma":[0.0001193657,0.00003036184,0.9596063,0.0002865614,0.0003483653,0.00002675757,0.0007870928,0.001000434,0.0002140108,0.0004576069,0.03707246,0.00005055496],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4051308,0.02205379,0.0006525963,0.007644887,0.0001954957,0.0002693173,0.5151358,0.0001114353,0.04880598],"genre_scores_gemma":[0.76819,0.01852004,0.0008899195,0.001048372,0.0001033832,0.0001316363,0.1709036,0.00006334125,0.04014971],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01155364,"threshold_uncertainty_score":0.08382797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03007915136377159,"score_gpt":0.2163614190935695,"score_spread":0.1862822677297979,"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."}}