{"id":"W7127116943","doi":"10.18357/wg22201637","title":"Travel Mode and School Catchment Area","year":2016,"lang":"","type":"article","venue":"Western Geography","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity Western University; Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada; Strong","keywords":"Catchment area; Neighbourhood (mathematics); Physical activity; Mode choice; Mode (computer interface); Human factors and ergonomics; Data collection","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004276637,0.0003634926,0.0004365178,0.0001935242,0.0004043683,0.0002107595,0.0004729612,0.0002484967,0.001247077],"category_scores_gemma":[0.00001531277,0.0002588055,0.0003112616,0.0004599498,0.0009333626,0.000726654,0.00007065513,0.0001765895,0.0002235049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005003732,"about_ca_system_score_gemma":0.0001433797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003728392,"about_ca_topic_score_gemma":0.002915951,"domain_scores_codex":[0.9970888,0.0001227858,0.000517166,0.0008869194,0.000605788,0.0007785134],"domain_scores_gemma":[0.9985084,0.0001094834,0.000193934,0.0005101594,0.00009205996,0.0005859748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004573877,0.0001608026,0.9896915,0.00004875032,0.00007778374,0.000005435914,0.001758429,2.881744e-7,0.0002352277,0.00006942209,0.0001382374,0.007768415],"study_design_scores_gemma":[0.0009349653,0.0001064924,0.990338,0.0002104963,0.0001088638,3.800137e-7,0.0007227298,0.000004679499,0.0001637531,0.001988213,0.004976896,0.0004444867],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847857,0.00150207,0.0007996949,0.002179488,0.0006877106,0.0006087807,0.0001481554,0.00005963943,0.00922881],"genre_scores_gemma":[0.9938837,0.00153516,0.0000391189,0.0003235779,0.0002440529,0.00002527267,0.000004788872,0.00002098399,0.003923312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009098081,"threshold_uncertainty_score":0.9999864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716416174672487,"score_gpt":0.2745352134952808,"score_spread":0.257371051748556,"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."}}