{"id":"W2124285741","doi":"10.4113/jom.2007.63","title":"Mapping Accessibility Over Time","year":2007,"lang":"en","type":"article","venue":"Journal of Maps","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Minnesota Department of Transportation; U.S. Department of Transportation","keywords":"Geography; Computer science; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000662128,0.0002738389,0.0002517733,0.005436763,0.0003640052,0.001326321,0.000308538,0.0002699665,0.002754336],"category_scores_gemma":[0.005887071,0.0001382778,0.0004131016,0.004344681,0.0002629564,0.001752461,0.001111364,0.000335244,0.0004903694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003878105,"about_ca_system_score_gemma":0.0002971338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01483851,"about_ca_topic_score_gemma":0.01607748,"domain_scores_codex":[0.9991739,0.0002319836,0.00005491126,0.0002523397,0.0002165404,0.00007027866],"domain_scores_gemma":[0.9973305,0.0008749911,0.0006845075,0.0002694225,0.0006884126,0.0001522571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002943027,0.0001174499,0.7706417,0.0003633422,0.0003018564,0.0003237893,0.009024702,0.01054698,0.004568298,0.00357292,0.002894755,0.1973499],"study_design_scores_gemma":[0.000008788486,0.0002191562,0.9552983,0.00009167896,0.0001050398,0.0006257871,0.006679055,0.01096324,0.001721057,0.002941257,0.02129859,0.00004803586],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539025,0.0006371535,0.02264322,0.0002323043,0.00003806713,0.00008493671,0.007379623,0.0002762538,0.01480587],"genre_scores_gemma":[0.9877726,0.000289037,0.008414129,0.00001366371,0.0000123097,0.00007368746,0.001885041,0.00002757486,0.001511777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01483851,"threshold_uncertainty_score":0.0295043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02376196981982887,"score_gpt":0.3235860246911424,"score_spread":0.2998240548713135,"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."}}