{"id":"W6927635489","doi":"10.34989/swp-2025-16","title":"Incorporating Trip-Chaining to Measuring Canadians’ Access to Cash","year":2025,"lang":"en","type":"article","venue":"Bank of Canada Research","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Cash; Metric (unit); Construct (python library); Service (business); Financial institution; Cash management","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":[],"consensus_categories":[],"category_scores_codex":[0.0007321552,0.0001246383,0.0002260171,0.0005425085,0.0001516494,0.00006236631,0.0005624895,0.00005788907,0.00005369228],"category_scores_gemma":[0.0003220502,0.0001408291,0.00002406899,0.001384632,0.00003295747,0.00006237919,0.00007367612,0.0003329142,0.000002249846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008049581,"about_ca_system_score_gemma":0.00215037,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7705253,"about_ca_topic_score_gemma":0.9808171,"domain_scores_codex":[0.9981354,0.00003793905,0.0003113659,0.0002066741,0.0006748871,0.0006337559],"domain_scores_gemma":[0.9988,0.0001738861,0.00001279547,0.0003107045,0.000294021,0.0004085326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001046818,0.0000308506,0.02712531,0.001229253,0.0002500222,0.0007236138,0.001144401,0.3151177,0.009943436,0.02243594,0.5843369,0.03755788],"study_design_scores_gemma":[0.002645539,0.0003921649,0.1693779,0.00286613,0.00008968569,0.00001533171,0.003819616,0.07043722,0.1156724,0.003033796,0.6288426,0.002807626],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.411484,0.001193566,0.03371762,0.006603186,0.002084964,0.002027021,0.0003281192,0.0002717882,0.5422897],"genre_scores_gemma":[0.9976478,0.00000356473,0.0007294091,0.0002588832,0.00006146935,0.00003663268,0.000004727361,0.00002516689,0.001232321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5861639,"threshold_uncertainty_score":0.5742843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1143147982646239,"score_gpt":0.3064869983738646,"score_spread":0.1921722001092407,"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."}}