{"id":"W4255469056","doi":"10.32920/ryerson.14665089","title":"Playing by different rules: indicators of happiness on playgrounds","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Happiness; Duration (music); Psychology; Baseline (sea); Logistic regression; Social psychology; Medicine; Political science","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":[0.0003343602,0.0002332201,0.0002082807,0.0009592469,0.0004821789,0.001225398,0.0003272759,0.0002392832,0.002940304],"category_scores_gemma":[0.001476669,0.0001133932,0.0002516804,0.001104785,0.0005463351,0.0003551157,0.001151002,0.0003110603,0.0003044693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009786092,"about_ca_system_score_gemma":0.0002933191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1034151,"about_ca_topic_score_gemma":0.1804379,"domain_scores_codex":[0.9996188,0.00007875956,0.00003964595,0.00005372938,0.0001107729,0.00009823393],"domain_scores_gemma":[0.9988852,0.0001143065,0.0004671014,0.00006011866,0.0001652399,0.0003079272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007671213,0.00003058271,0.9951906,0.00001648968,0.00003840997,0.00002601899,0.00100017,0.0001363527,0.0002213518,0.00008302766,0.0002772664,0.002903008],"study_design_scores_gemma":[3.972085e-7,0.00001064833,0.9989985,0.000002219211,0.000002569429,0.000008177076,0.000744554,0.00004764216,0.00002781925,0.00001125441,0.0001447814,0.000001416544],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956951,0.00007504884,0.0001036241,0.00002117997,0.000002872822,0.00001178272,0.001336731,0.000004897902,0.002748822],"genre_scores_gemma":[0.9979151,0.00006623127,0.0001219066,0.000004183862,0.000002500331,0.00001290964,0.001121392,0.000002051574,0.0007537655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1034151,"threshold_uncertainty_score":0.2056263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653753453168423,"score_gpt":0.2515418806136929,"score_spread":0.2350043460820087,"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."}}