{"id":"W4324139910","doi":"10.1161/circ.147.suppl_1.p648","title":"Abstract P648: Flattening the Curve: A Behavioural Economics Approach to Increase Activity in Summer Months","year":2023,"lang":"en","type":"article","venue":"Circulation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital Research Institute of Manitoba","funders":"","keywords":"Cycling; Morning; Medicine; Demography; Replicate; Attendance; Data collection; Population; Names of the days of the week; Statistics; Geography; Environmental health; Mathematics; Forestry","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":[0.006323583,0.0005902765,0.0005618522,0.002030864,0.0008168089,0.002235691,0.001833544,0.001061511,0.01198374],"category_scores_gemma":[0.01870477,0.0003095123,0.001681551,0.002739383,0.002390707,0.001465714,0.001586569,0.001391591,0.0009669381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003857721,"about_ca_system_score_gemma":0.003548428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06291072,"about_ca_topic_score_gemma":0.07624964,"domain_scores_codex":[0.9966534,0.001988992,0.00008347354,0.0006439385,0.0004163782,0.0002137194],"domain_scores_gemma":[0.9930872,0.003824229,0.001154866,0.0005813902,0.000923241,0.0004290498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007366707,0.000803857,0.5601556,0.001390981,0.001293502,0.0003762186,0.005251425,0.05016499,0.001718273,0.09392934,0.01879686,0.2653823],"study_design_scores_gemma":[0.0001021234,0.0009265043,0.7542402,0.0007547023,0.0004296733,0.0002408762,0.007983479,0.1143647,0.0009620045,0.07879502,0.04108583,0.0001148196],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.57864,0.003035633,0.3351747,0.01271521,0.0005291938,0.00219417,0.007036747,0.0006705757,0.06000376],"genre_scores_gemma":[0.9332513,0.0006767093,0.05688845,0.000784647,0.000125638,0.001015453,0.0007649685,0.0001268745,0.00636595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06291072,"threshold_uncertainty_score":0.1250891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07597670979512668,"score_gpt":0.3155712189618867,"score_spread":0.2395945091667601,"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."}}