{"id":"W2783577770","doi":"10.1016/j.jth.2017.11.095","title":"Check the Score: Field Validation of Street Smart Walk Score in Alberta, Canada ( breakout presentation )","year":2017,"lang":"en","type":"article","venue":"Journal of Transport & Health","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Walkability; Pedestrian; Geography; Metropolitan area; Built environment; Psychology; Statistics; Engineering; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001513237,0.00009082252,0.0002988805,0.00005058178,0.0004519761,0.00003072857,0.000549832,0.00006619933,0.00009365344],"category_scores_gemma":[0.0001004318,0.00006680368,0.0001027642,0.0001115418,0.0001306639,0.0005125435,0.000004355417,0.0002792975,2.108342e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167169,"about_ca_system_score_gemma":0.003389019,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9735895,"about_ca_topic_score_gemma":0.9976079,"domain_scores_codex":[0.9980826,0.0001061895,0.0007904464,0.0001207433,0.00064775,0.0002522384],"domain_scores_gemma":[0.9982491,0.000132264,0.001050688,0.0002562884,0.0001637771,0.0001479525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007122744,0.00006094823,0.9930571,0.00005570064,0.00001274866,0.000008832534,0.003694417,0.0000359729,0.000007137681,0.0001412779,0.0004925636,0.002362076],"study_design_scores_gemma":[0.0003895676,0.00007044573,0.9959778,0.0001462936,0.00002017256,5.902672e-7,0.0008038151,0.000004816888,0.0004475217,0.0003290127,0.001749133,0.00006081216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771199,0.0001098262,0.00005883968,0.02078796,0.0004975015,0.0002473474,0.00001322234,0.000002293526,0.001163123],"genre_scores_gemma":[0.9991392,0.0001598501,0.00003921498,0.0002686637,0.0001789972,0.000001800761,0.000008730616,0.000005869634,0.0001976817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02401841,"threshold_uncertainty_score":0.6011974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03739069220548062,"score_gpt":0.3333294757568965,"score_spread":0.2959387835514159,"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."}}