{"id":"W7038487908","doi":"","title":"The impact of sports on health and healthcare costs in Portugal field lab on sports management, economics and finance - quantifying economic and social impact","year":2023,"lang":"en","type":"dissertation","venue":"Universidade Nova de Lisboa's Repository (Universidade Nova de Lisboa)","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Public Health Agency; Public Health Agency of Canada","keywords":"Economic impact analysis; Productivity; Health care; Socioeconomic status; Work (physics); Population; Portuguese; Production (economics)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006536695,0.000196769,0.0002123993,0.001184274,0.0004244246,0.001753757,0.0001869766,0.0002988612,0.003955578],"category_scores_gemma":[0.002152052,0.0000906007,0.0004537922,0.001541051,0.0002921052,0.0003658672,0.0006419748,0.0002917367,0.0002935561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002230028,"about_ca_system_score_gemma":0.002121203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02649597,"about_ca_topic_score_gemma":0.04167366,"domain_scores_codex":[0.9995202,0.0001993299,0.00002396671,0.00003545828,0.0001233343,0.00009780156],"domain_scores_gemma":[0.9989278,0.0005772518,0.0002023042,0.00004522729,0.0001241842,0.00012325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008381783,0.0006445186,0.6934465,0.0009274533,0.0004449963,0.001153434,0.001627195,0.0463086,0.001507718,0.04298673,0.01895059,0.1911642],"study_design_scores_gemma":[0.00004078397,0.0002849927,0.9413583,0.0009831664,0.0001118968,0.0003240235,0.003902266,0.01758173,0.001109667,0.007989774,0.02628137,0.00003191991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9170151,0.003552418,0.001345354,0.004057087,0.00009683197,0.00004771287,0.004418151,0.0000190785,0.06944828],"genre_scores_gemma":[0.9917598,0.002239407,0.0007662522,0.00007081516,0.00003779486,0.00002619689,0.0005341737,0.000009804871,0.004555736],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02649597,"threshold_uncertainty_score":0.05268347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540642845899105,"score_gpt":0.2723876567515771,"score_spread":0.2369812282925861,"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."}}