{"id":"W6959493235","doi":"10.7939/r3pc2t880","title":"Check the Score: Field Validation of Street Smart Walk Score in Alberta, Canada","year":2016,"lang":"en","type":"other","venue":"University of Alberta Library","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Field (mathematics); Measure (data warehouse); Data collection; Global Positioning System","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":[0.004229631,0.0006672509,0.0005690424,0.002502761,0.003151256,0.001512725,0.002200717,0.0005639905,0.005026095],"category_scores_gemma":[0.007797075,0.0003947321,0.000457974,0.0039148,0.001087034,0.000645637,0.001278976,0.0007422302,0.002530121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01977688,"about_ca_system_score_gemma":0.03614842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9902889,"about_ca_topic_score_gemma":0.9968161,"domain_scores_codex":[0.9970285,0.0003666301,0.0001096635,0.0003385333,0.001676501,0.0004801311],"domain_scores_gemma":[0.9844595,0.0005715208,0.000421545,0.0005898532,0.01276063,0.001196854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008097944,0.001164933,0.7798245,0.0001624501,0.0001287594,0.0003500977,0.009099989,0.002516808,0.002378861,0.001474141,0.09135903,0.1107306],"study_design_scores_gemma":[0.00003967511,0.00009897832,0.9764159,0.00008101173,0.0000253512,0.00004162545,0.004081106,0.001720723,0.00057816,0.0001329947,0.01674539,0.00003905292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9213187,0.000376387,0.003424921,0.00070619,0.000144463,0.002020794,0.03031946,0.0004051394,0.04128386],"genre_scores_gemma":[0.918652,0.0003548594,0.009576631,0.0003946201,0.0000338901,0.0008523746,0.02670609,0.0002209541,0.04320863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01977688,"threshold_uncertainty_score":0.143492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005820592405372891,"score_gpt":0.1711273520643453,"score_spread":0.1653067596589725,"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."}}