{"id":"W3163514475","doi":"10.22215/cpopp.v4i0.2709","title":"Trends in Municipal Urban Development: An Analysis of Winnipeg","year":2020,"lang":"en","type":"article","venue":"Carleton Perspectives on Public Policy","topic":"Social Sciences and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Environmental planning; Political science","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":[0.0005735185,0.0002129746,0.0002493951,0.003371225,0.001475149,0.00218734,0.0009197381,0.0003252684,0.002763498],"category_scores_gemma":[0.00246466,0.0003567106,0.0002485318,0.01161431,0.000545592,0.0006491854,0.001773673,0.0003696969,0.0002960672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0152619,"about_ca_system_score_gemma":0.01462649,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9508868,"about_ca_topic_score_gemma":0.9825742,"domain_scores_codex":[0.9992632,0.00008610506,0.00004081427,0.00008983411,0.0001378312,0.0003821765],"domain_scores_gemma":[0.9992018,0.0000485514,0.0001700993,0.00002848164,0.0003287712,0.0002223383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002307376,0.00004939207,0.9230049,0.0004129631,0.0001187934,0.000642179,0.01319602,0.001017193,0.0007716878,0.006064101,0.01173318,0.04275895],"study_design_scores_gemma":[0.000003927852,0.00001827216,0.9712526,0.000072278,0.0000189602,0.00007882969,0.01030676,0.0003085548,0.0001390925,0.00009947365,0.01769182,0.000009470263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797724,0.003031629,0.0002522182,0.001676504,0.00002428469,0.0001043702,0.008418808,0.00002190692,0.006697735],"genre_scores_gemma":[0.9871562,0.002178969,0.0005246364,0.0001419639,0.000005466552,0.00008145563,0.00289473,0.00002255483,0.006994112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04911315,"threshold_uncertainty_score":0.1107334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05621934603481334,"score_gpt":0.3570445647136936,"score_spread":0.3008252186788803,"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."}}