{"id":"W6996659948","doi":"","title":"Snapshot of Vancouver BC Open Data Catalogue v2","year":2011,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Global Urban Networks and Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apartment; Downtown; Easement; Snapshot (computer storage); Real estate; Visitor pattern; Geographic information system; Cadastre; Documentation; Architecture","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005940637,0.0002498723,0.0004814106,0.00004836384,0.0001041955,0.00006884889,0.00236322,0.0004859813,0.4824479],"category_scores_gemma":[0.0001591522,0.0002474796,0.0000911242,0.00001495133,0.000385368,8.469679e-7,0.0008085574,0.0001989033,0.002374227],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004832517,"about_ca_system_score_gemma":0.000143421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3392162,"about_ca_topic_score_gemma":0.4112807,"domain_scores_codex":[0.9982117,0.0001119647,0.0006122119,0.0002510811,0.0004729771,0.000340101],"domain_scores_gemma":[0.9978834,0.00008097433,0.0008718947,0.0008542836,0.0001639475,0.0001454915],"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":[0.00004016212,0.00004986433,0.000008056059,0.0001330455,0.00005832077,0.000005931503,0.0003984366,0.0000499475,5.297317e-9,0.0007121579,0.9975267,0.001017364],"study_design_scores_gemma":[0.0002796583,0.00005084073,0.000004874335,0.0001959991,0.00005784655,0.000002439866,0.0003860271,0.00002209649,1.576756e-7,0.0000616266,0.9986746,0.0002637849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00000326243,0.0002728328,9.906036e-7,0.00004663651,0.0008074602,0.0005819816,0.001179572,0.00005675825,0.9970505],"genre_scores_gemma":[0.0003449286,0.000625348,0.001441358,0.0001493623,0.000205037,0.000005962466,0.001876498,0.00006474736,0.9952868],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4800737,"threshold_uncertainty_score":0.9999977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02117347824882579,"score_gpt":0.2345605509059771,"score_spread":0.2133870726571513,"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."}}