{"id":"W2294785334","doi":"10.14288/1.0102248","title":"Transit travel to the urban core of Great Vancouver.","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Core (optical fiber); Geography; Transport engineering; Computer science; Engineering; Telecommunications","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":[0.00008102394,0.0001100481,0.00008341447,0.000627107,0.001048211,0.000869957,0.0002410879,0.0001345424,0.002684799],"category_scores_gemma":[0.0005681101,0.0001040927,0.00006239958,0.001607045,0.0003183144,0.000207138,0.0005860048,0.0001858336,0.0002734436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004062973,"about_ca_system_score_gemma":0.002687868,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8860937,"about_ca_topic_score_gemma":0.9729043,"domain_scores_codex":[0.999874,0.00001761361,0.000004292915,0.0000312055,0.00003394446,0.00003890864],"domain_scores_gemma":[0.9997476,0.00002642532,0.00004785007,0.00001029042,0.0001019872,0.00006589481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001656777,0.00003289335,0.8564415,0.000182266,0.00003235172,0.001003494,0.02122834,0.001390585,0.001963878,0.002828352,0.01094479,0.103786],"study_design_scores_gemma":[0.000002309331,0.00002185885,0.9730463,0.00003637485,0.000006420426,0.0002260993,0.01008282,0.0005341867,0.0001610057,0.0001224193,0.01575287,0.000007330392],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872906,0.0002961858,0.0001362648,0.0001495812,0.000007381171,0.00001228606,0.0008664916,0.000007033544,0.01123414],"genre_scores_gemma":[0.9892545,0.0003537693,0.0002348922,0.00002656685,0.000002338689,0.000008631569,0.0005893543,0.000004000577,0.009525967],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1139063,"threshold_uncertainty_score":0.2291541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02602005287957292,"score_gpt":0.2044277459415854,"score_spread":0.1784076930620125,"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."}}