{"id":"W7133086335","doi":"","title":"Mapping public access to greenspace &amp; federal-municipal ownership in Canada’s Capital Region","year":2022,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Transport Canada","keywords":"Public access; Social capital; Capital city; Population; Investment (military); Service (business); Stewardship (theology); Capital (architecture)","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0004429439,0.0002557661,0.0002338133,0.003069023,0.003066243,0.002861324,0.0007625631,0.0002831039,0.0040917],"category_scores_gemma":[0.002428392,0.0001938152,0.0004241368,0.006809833,0.0008975297,0.0005821674,0.001573389,0.0003323361,0.000457302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04798638,"about_ca_system_score_gemma":0.05661694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988404,"about_ca_topic_score_gemma":0.9994709,"domain_scores_codex":[0.9991632,0.00004366618,0.0000316919,0.00009272296,0.0002978435,0.0003708724],"domain_scores_gemma":[0.9972038,0.0001938559,0.0003046584,0.00011381,0.001669041,0.000514889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001353678,0.0000657329,0.9066663,0.0002352628,0.00008806922,0.000259611,0.01207682,0.001585419,0.0007501449,0.006249979,0.02657742,0.04530979],"study_design_scores_gemma":[0.000006309334,0.00001423602,0.9501121,0.0001513303,0.00003096629,0.0000554922,0.01858795,0.001353132,0.0002683848,0.00015897,0.02923327,0.00002778703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9344836,0.0007703789,0.0005195507,0.0009912008,0.00001970088,0.0001322516,0.02845831,0.0000620566,0.03456304],"genre_scores_gemma":[0.980349,0.0006427608,0.001023824,0.00009538364,0.000005097362,0.00006810718,0.006965484,0.00002163116,0.01082867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04798638,"threshold_uncertainty_score":0.3481672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138549893714997,"score_gpt":0.3299280563525405,"score_spread":0.2160730669810407,"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."}}