{"id":"W606264317","doi":"","title":"Sampling Design and Data Collection for NEWPATH Survey","year":2013,"lang":"en","type":"article","venue":"Transportation Research Board 92nd Annual MeetingTransportation Research Board","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sampling design; Data collection; Walkability; Sampling (signal processing); Survey data collection; Oversampling; Statistics; Survey sampling; Survey methodology; Stratified sampling; Survey research; Sample (material); Geography; Sample size determination; Population; Computer science; Environmental health; Built environment; Mathematics; Psychology; Applied psychology; Engineering; Medicine; Telecommunications","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":[0.01692586,0.0007825468,0.0009451556,0.003342581,0.003474288,0.001327568,0.002490636,0.0007324413,0.04809888],"category_scores_gemma":[0.02449415,0.00127402,0.0005488591,0.004911119,0.0009881585,0.0008245215,0.002303845,0.0011677,0.006926368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01520535,"about_ca_system_score_gemma":0.04407728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3974556,"about_ca_topic_score_gemma":0.5769695,"domain_scores_codex":[0.9854843,0.006327956,0.001455653,0.001481759,0.003741821,0.001508438],"domain_scores_gemma":[0.9791069,0.001804545,0.001157047,0.003200892,0.01328394,0.001446696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003654644,0.002377704,0.08966736,0.002897092,0.0001518495,0.001241571,0.01593368,0.003911586,0.00814058,0.0151643,0.3910598,0.4657998],"study_design_scores_gemma":[0.001604349,0.002057492,0.1883051,0.0007862568,0.00007647186,0.0002128926,0.006137982,0.004242049,0.002312094,0.002526823,0.791621,0.0001174147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"methods","genre_scores_codex":[0.04737556,0.0003327429,0.07378968,0.001689787,0.0005974062,0.7701558,0.0606822,0.000846124,0.0445307],"genre_scores_gemma":[0.05013018,0.0008128586,0.1255742,0.001608382,0.0003057772,0.7699873,0.01901362,0.0002039647,0.03236365],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.3974556,"threshold_uncertainty_score":0.7902844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2847796291711124,"score_gpt":0.4754636985203502,"score_spread":0.1906840693492378,"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."}}