{"id":"W2173200502","doi":"10.1016/j.landurbplan.2014.07.013","title":"How well has land-use planning worked under different governance regimes? A case study in the Portland, OR-Vancouver, WA metropolitan area, USA","year":2014,"lang":"en","type":"article","venue":"Landscape and Urban Planning","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Science Foundation","keywords":"Metropolitan area; Growth management; Land use; Geography; Urban planning; Land-use planning; Environmental planning; Environmental protection; Archaeology; Civil engineering; Engineering","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":[0.002424809,0.0002022011,0.0002659281,0.0007705597,0.004532158,0.003418778,0.001271878,0.000924231,0.001712424],"category_scores_gemma":[0.007142045,0.0002462206,0.0001814081,0.002435335,0.002242562,0.001164192,0.001442058,0.001374903,0.0001315004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01519647,"about_ca_system_score_gemma":0.01252894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7967525,"about_ca_topic_score_gemma":0.9696445,"domain_scores_codex":[0.9982725,0.0008326696,0.00004369876,0.0001110932,0.0002553092,0.0004847492],"domain_scores_gemma":[0.9958489,0.001585551,0.0003928038,0.0002036031,0.001006833,0.0009622571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003957645,0.002329878,0.7904029,0.0001349685,0.0001736146,0.007445232,0.08727108,0.002756364,0.001287004,0.007621987,0.006049973,0.09413113],"study_design_scores_gemma":[0.00006708651,0.0002834311,0.5886181,0.0001794125,0.00008583671,0.0007865158,0.3908535,0.003615905,0.0004301443,0.001058168,0.01397578,0.00004613256],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924981,0.00005363037,0.00008057186,0.0006841114,0.00000511594,0.00003022736,0.00003980551,0.00000259084,0.006605833],"genre_scores_gemma":[0.9974355,0.00013601,0.0002216075,0.000140343,0.000003196465,0.00001709787,0.00004870583,0.000006048502,0.001991548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7967525,"threshold_uncertainty_score":0.4088889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079327491540359,"score_gpt":0.2337157151386039,"score_spread":0.2029224402232003,"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."}}