{"id":"W4211239937","doi":"10.32866/001c.32444","title":"Cumulative versus Gravity-based Accessibility Measures: Which One to Use?","year":2022,"lang":"en","type":"article","venue":"Findings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Sydney; University of Twente; McMaster University","keywords":"Operationalization; Metropolitan area; Public transport; Gravity model of trade; Econometrics; Cumulative distribution function; Cumulative effects; Computer science; Transport engineering; Mathematics; Statistics; Economics; Geography; Engineering; Physics; Probability density function","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01877361,0.0008849553,0.001750768,0.005002109,0.0008976024,0.00502055,0.001916676,0.00141665,0.002265723],"category_scores_gemma":[0.1056829,0.000417794,0.001552851,0.01018226,0.002468878,0.005385556,0.002393757,0.002010891,0.0008881446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238955,"about_ca_system_score_gemma":0.001759511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01154885,"about_ca_topic_score_gemma":0.01728681,"domain_scores_codex":[0.9875365,0.00758684,0.001136238,0.001293909,0.002125935,0.0003205097],"domain_scores_gemma":[0.9410563,0.03348665,0.007713408,0.005127911,0.01130466,0.001311056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004436264,0.000377232,0.5221512,0.00247733,0.002287366,0.000143602,0.01081619,0.001797576,0.001096102,0.04177753,0.02336484,0.3932675],"study_design_scores_gemma":[0.0002955395,0.001856633,0.6837597,0.00970595,0.001852945,0.001407755,0.04597419,0.01421412,0.003223586,0.1386455,0.09819534,0.0008688035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.667317,0.03546173,0.2269803,0.02775297,0.002842037,0.0008258995,0.007762154,0.0009973306,0.03006067],"genre_scores_gemma":[0.9062468,0.005212526,0.08372919,0.001104504,0.0004267764,0.0004283785,0.001722879,0.0002141599,0.0009148683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01877361,"threshold_uncertainty_score":0.09928554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.106124895673224,"score_gpt":0.3512466756179042,"score_spread":0.2451217799446802,"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."}}