{"id":"W7025313578","doi":"","title":"Urban open spaces in downtown Winnipeg, what works?","year":2006,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Downtown; Urban planning; Placemaking; Space (punctuation); Feature (linguistics)","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"],"consensus_categories":[],"category_scores_codex":[0.0004152632,0.0002056589,0.0004116858,0.0002064476,0.0004556816,0.0005534322,0.001264006,0.0004221395,0.00005680381],"category_scores_gemma":[0.00004699276,0.0002836896,0.0001092231,0.0005348441,0.0001796242,0.002146264,0.0001045536,0.0003683931,0.00006106264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003024314,"about_ca_system_score_gemma":0.0003237685,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3147188,"about_ca_topic_score_gemma":0.9852604,"domain_scores_codex":[0.9984065,0.000163214,0.0001203069,0.0004086927,0.0005284718,0.0003728248],"domain_scores_gemma":[0.9990035,0.00009590973,0.000437715,0.0002608965,0.0001128775,0.00008905247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005482191,0.0003481618,0.2606797,0.0002055718,0.0001189454,0.0003132118,0.05154209,0.0000879036,0.00005505175,0.003675283,0.6619395,0.0204864],"study_design_scores_gemma":[0.0005400149,0.00003778148,0.3910612,0.002183251,0.00005420601,2.50244e-7,0.3551855,0.00001185342,0.00001342855,0.0001569126,0.2503684,0.0003871095],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8326853,0.004437613,0.000008981712,0.002556778,0.001020735,0.0005539099,0.00002095404,0.00006635099,0.1586494],"genre_scores_gemma":[0.775963,0.005556644,0.0006972682,0.0000781463,0.0004055907,0.000001822964,0.000555896,0.0000495201,0.2166921],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6705415,"threshold_uncertainty_score":0.9999616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775087382290707,"score_gpt":0.2436669827903611,"score_spread":0.2259161089674541,"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."}}