{"id":"W4281562240","doi":"10.32920/19773097","title":"Portals for planners: current state of open land development data in Canada","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Open data; Open government; Environmental planning; Urban planning; Land use; Business; Process (computing); Government (linguistics); Population; Geography; Perspective (graphical); Regional science; Computer science; Engineering; World Wide Web; Civil engineering; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01775864,0.0003727537,0.0006799651,0.01240651,0.00908457,0.01899777,0.003425141,0.000992589,0.01207697],"category_scores_gemma":[0.05250132,0.0008771025,0.0005994944,0.04091474,0.006599278,0.009292889,0.008898885,0.001598637,0.001375261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08962103,"about_ca_system_score_gemma":0.2500229,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.986697,"about_ca_topic_score_gemma":0.984194,"domain_scores_codex":[0.9856408,0.002031425,0.0009527367,0.001682697,0.007568272,0.002124042],"domain_scores_gemma":[0.9044278,0.02417532,0.004833902,0.008824729,0.04460529,0.01313287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003725036,0.0001875468,0.1261632,0.001983005,0.00008412815,0.0005944303,0.02540046,0.003044004,0.001569026,0.1218271,0.1865177,0.5322571],"study_design_scores_gemma":[0.00003133519,0.00003108974,0.07501058,0.001139604,0.00002727172,0.0001072087,0.02988984,0.003160391,0.001085344,0.00625984,0.8830751,0.0001823421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3913771,0.02539411,0.02912516,0.1307621,0.0008861641,0.001607646,0.1078074,0.00555373,0.3074865],"genre_scores_gemma":[0.805834,0.02325791,0.05883356,0.004529011,0.0001493121,0.0006206136,0.05673662,0.001327966,0.04871098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08962103,"threshold_uncertainty_score":0.6502491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.171927249183337,"score_gpt":0.4036298572325403,"score_spread":0.2317026080492033,"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."}}