{"id":"W7037850665","doi":"","title":"Evaluating the Impacts of Transportation Plans Using Accessibility Measures","year":2011,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Measure (data warehouse); Work (physics); Data collection; Production (economics); Public transport","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004715081,0.001322137,0.0005669319,0.002567425,0.0004289023,0.001932671,0.0007901434,0.0009978756,0.002726072],"category_scores_gemma":[0.01659059,0.0005080006,0.001435848,0.002940238,0.0006967384,0.002017306,0.001050934,0.000819641,0.000226139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003679107,"about_ca_system_score_gemma":0.002314425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06799648,"about_ca_topic_score_gemma":0.08969183,"domain_scores_codex":[0.9962314,0.002339283,0.0001516023,0.0003276363,0.0006848274,0.0002653062],"domain_scores_gemma":[0.9849302,0.01167553,0.001255293,0.0005107347,0.001077481,0.0005507433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001312676,0.0008996469,0.1650553,0.0001786711,0.0008582309,0.0001650286,0.0001182048,0.7633196,0.001261425,0.002714901,0.001209554,0.06290669],"study_design_scores_gemma":[0.0001749935,0.002625419,0.1040399,0.0000557067,0.0005984022,0.00003901198,0.0007091332,0.8836238,0.002361246,0.00439016,0.001304908,0.00007743984],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844095,0.0002529789,0.008189076,0.0003252418,0.00003583894,0.000195252,0.001373434,0.0001174338,0.005101258],"genre_scores_gemma":[0.9934537,0.0001354251,0.00522104,0.00001468321,0.000007070206,0.00005391093,0.000638447,0.00001041716,0.0004651492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06799648,"threshold_uncertainty_score":0.1352014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.155717419765677,"score_gpt":0.2819292747856159,"score_spread":0.1262118550199388,"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."}}