{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.02645844,0.00038591,0.0005672992,0.0009743492,0.003887461,0.0007764151,0.00144165,0.0004501228,0.0005436494],"category_scores_gemma":[0.002308142,0.0004013594,0.0001316613,0.00289682,0.001849367,0.002831477,0.0000276157,0.001251208,0.00006082175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311391,"about_ca_system_score_gemma":0.001441836,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1809612,"about_ca_topic_score_gemma":0.1586491,"domain_scores_codex":[0.9881987,0.003080196,0.001225914,0.001794934,0.003601008,0.002099263],"domain_scores_gemma":[0.984882,0.006414825,0.0002193271,0.0009169886,0.00663806,0.0009288205],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002069557,0.0007014154,0.8871487,0.0006942253,0.0001958303,0.00002319582,0.03793319,0.0004095623,0.002242805,0.004709325,0.04938063,0.01449152],"study_design_scores_gemma":[0.001401384,0.0003768054,0.9526189,0.0001378104,0.00003926975,5.553954e-8,0.0135676,0.00125029,0.0002849753,0.005085907,0.02472459,0.0005123895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943898,0.0004138559,0.04130074,0.004458255,0.0002884023,0.007512226,0.001136443,0.0003219914,0.0006700751],"genre_scores_gemma":[0.9708776,0.0006993237,0.02257989,0.00006884273,0.0003286796,0.001213912,0.002212801,0.00009595352,0.001922998],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06547017,"threshold_uncertainty_score":0.9998438,"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."}}