{"id":"W1974654961","doi":"10.1007/s11524-011-9650-x","title":"Internal Consistency, Concurrent Validity, and Discriminant Validity of a Measure of Public Support for Policies for Active Living in Transportation (PAL-T) in a Population-based Sample of Adults","year":2012,"lang":"en","type":"article","venue":"Journal of Urban Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National d'Excellence en Santé et en Services Sociaux; Sante Montreal; Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canadian Institutes of Health Research","keywords":"Discriminant validity; Active living; Concurrent validity; Recreation; Public transport; Sample (material); Public policy; Psychology; Conceptualization; Population; Linear discriminant analysis; Applied psychology; Public health; Medicine; Internal consistency; Environmental health; Computer science; Psychometrics; Statistics; Economics; Clinical psychology; Nursing; Political science; Transport engineering; Engineering; Mathematics; Economic growth","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.007544273,0.0005290264,0.0007544578,0.001879766,0.001033426,0.001411673,0.0007871857,0.001026496,0.001093371],"category_scores_gemma":[0.01526182,0.0006688512,0.001765787,0.001491706,0.00121308,0.001046138,0.001680134,0.001669304,0.0002952703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007469071,"about_ca_system_score_gemma":0.0009946498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004193487,"about_ca_topic_score_gemma":0.006667245,"domain_scores_codex":[0.9964266,0.0009694349,0.0006724868,0.0005540168,0.001154026,0.0002235205],"domain_scores_gemma":[0.9870019,0.005862886,0.002601725,0.0011034,0.002784517,0.0006456235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002841346,0.0004502714,0.992128,0.0000256867,0.0003097582,0.0000293892,0.00116972,0.0001849269,0.0004311387,0.0001306962,0.0001957817,0.004660505],"study_design_scores_gemma":[0.00007520377,0.0003374935,0.9968557,0.00001613406,0.0001064719,0.00009024858,0.0008076244,0.001047536,0.0002376801,0.0001780984,0.0002377989,0.00001000807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983494,0.00009471057,0.0003621267,0.00007011468,0.00002673937,0.00005966956,0.0001767831,0.000009408181,0.0008510975],"genre_scores_gemma":[0.9983819,0.00006710767,0.0006496113,0.0000467862,0.00001920433,0.0001103717,0.0004648892,0.000008880581,0.0002513659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007544273,"threshold_uncertainty_score":0.03989846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1330258320242529,"score_gpt":0.3853724854154363,"score_spread":0.2523466533911835,"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."}}