{"id":"W978396053","doi":"","title":"Sustainability in Toronto : a Personal Rapid Transit System and a Community Development Plan for Cherry Beach","year":2009,"lang":"en","type":"article","venue":"","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Downtown; Sustainability; Plan (archaeology); Port (circuit theory); Diversity (politics); Environmental planning; Urban planning; Geography; Business; Transport engineering; Sociology; Engineering; Civil engineering; Archaeology","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":[0.0005128173,0.0003292961,0.00009107972,0.0002915873,0.00875169,0.002227256,0.0006847095,0.001200134,0.02108626],"category_scores_gemma":[0.0006798973,0.0002507661,0.0002085352,0.0006480193,0.001418184,0.0009354358,0.001756725,0.001167002,0.001086655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03292423,"about_ca_system_score_gemma":0.03651646,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9112968,"about_ca_topic_score_gemma":0.9854183,"domain_scores_codex":[0.9994861,0.00008132662,0.000009778923,0.00004304006,0.0001628498,0.0002168178],"domain_scores_gemma":[0.9989838,0.00005669251,0.0000232597,0.00002936001,0.0002070582,0.0006998158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002674613,0.000411962,0.02022126,0.0005384277,0.00003864376,0.01530142,0.08659349,0.003698699,0.004780835,0.05230049,0.6686387,0.1472086],"study_design_scores_gemma":[0.00004201897,0.0002344392,0.04376624,0.0001206671,0.00001394533,0.0004221593,0.06882904,0.0007227617,0.0005383678,0.001141314,0.8841004,0.00006861127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4939276,0.00665128,0.001505346,0.06976017,0.001209739,0.0007979881,0.002176479,0.0004284171,0.423543],"genre_scores_gemma":[0.539207,0.00349986,0.003981061,0.003154042,0.0001236602,0.0002143801,0.001415904,0.0001330171,0.4482711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08870322,"threshold_uncertainty_score":0.2388831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02988291069820639,"score_gpt":0.3050655297761606,"score_spread":0.2751826190779542,"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."}}