{"id":"W4310131917","doi":"10.12688/f1000research.127294.1","title":"Dynamic geographical accessibility assessments to improve health equity: protocol for a test case in Cali, Colombia","year":2022,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Bruyère; University of Ottawa","funders":"Universitat Autònoma de Barcelona; Secretaría de Salud; Pan American Health Organization; Universidad del Valle","keywords":"Residence; Equity (law); Business; Geography; Economics; Demographic economics; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01503382,0.0004208723,0.000870612,0.0006215745,0.001533418,0.0007220142,0.002494622,0.0005154067,0.002299841],"category_scores_gemma":[0.001515985,0.0004382771,0.000344982,0.001676838,0.0006117698,0.0002877939,0.003689314,0.002593822,0.00000813306],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003568444,"about_ca_system_score_gemma":0.008711036,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08628874,"about_ca_topic_score_gemma":0.241359,"domain_scores_codex":[0.9910642,0.001412261,0.001245961,0.002058148,0.002248501,0.001970959],"domain_scores_gemma":[0.9957726,0.001159329,0.0003387728,0.001292409,0.0004462851,0.0009905944],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001241928,0.00353456,0.9405054,0.003712266,0.00005956075,0.0005591179,0.003454131,0.00004215735,0.00004147194,0.0003620332,0.004663658,0.04182374],"study_design_scores_gemma":[0.005365585,0.002854164,0.8583809,0.0005360121,0.00004142391,0.000005032056,0.004376172,0.004830947,0.00002615752,0.04018148,0.08161445,0.001787724],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.3675739,0.00003428581,0.0006627275,0.006468342,0.0005824492,0.6175094,0.003476404,0.0002999564,0.003392505],"genre_scores_gemma":[0.4531457,0.000004111302,0.001217074,0.0002346509,0.0001149968,0.5439666,0.000165345,0.00004953528,0.001101981],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.1550702,"threshold_uncertainty_score":0.9998069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1513603231324712,"score_gpt":0.574899950254736,"score_spread":0.4235396271222647,"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."}}