{"id":"W6997312872","doi":"","title":"302 Village Vancouver — How Can A Big City Become a Village?","year":2016,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chatterjee; Preparedness; Marketing buzz; Hurricane katrina; Channel (broadcasting); Transition (genetics)","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":[0.0003633721,0.0003171533,0.000187458,0.0003407776,0.01611481,0.00730198,0.000552157,0.001407855,0.08500338],"category_scores_gemma":[0.0009762448,0.0002191245,0.0001336855,0.0006126874,0.001562822,0.001964689,0.003474874,0.001981678,0.01691433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005760683,"about_ca_system_score_gemma":0.01009922,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4529124,"about_ca_topic_score_gemma":0.8475658,"domain_scores_codex":[0.9996018,0.00007558842,0.000005535979,0.00004004987,0.0001094348,0.0001677668],"domain_scores_gemma":[0.9988232,0.00002886872,0.00001364159,0.00002429326,0.000225143,0.0008848002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001212608,0.00001961573,0.001668858,0.00005119892,0.000001656891,0.0002927425,0.004567906,0.00002578008,0.0001281808,0.007462571,0.9415533,0.04421605],"study_design_scores_gemma":[0.000001950724,0.000003539765,0.001142755,0.00004395834,7.86467e-7,0.00005602976,0.008464479,0.0000118442,0.00002768529,0.0003853009,0.9898576,0.000004111462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01404536,0.005465789,0.0003945736,0.06768218,0.003182947,0.000077267,0.0005461123,0.0002341442,0.9083716],"genre_scores_gemma":[0.0785918,0.003769217,0.0004058981,0.008081047,0.0003134411,0.00005226809,0.0005053056,0.0001583795,0.9081228],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5470876,"threshold_uncertainty_score":0.9005523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00802282871130026,"score_gpt":0.191103215159565,"score_spread":0.1830803864482647,"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."}}