{"id":"W4233051392","doi":"10.3138/9781442685062","title":"Toronto Sprawls","year":2007,"lang":"pl","type":"book","venue":"University of Toronto Press eBooks","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Computer 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":[0.0002502199,0.0009573318,0.000313516,0.001670872,0.004830776,0.003304421,0.0006167149,0.001212879,0.1490246],"category_scores_gemma":[0.0008060629,0.0004656923,0.000366598,0.00239843,0.001160333,0.001441993,0.001311947,0.001788171,0.02414676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01790439,"about_ca_system_score_gemma":0.009233676,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6469734,"about_ca_topic_score_gemma":0.9195842,"domain_scores_codex":[0.9997228,0.00001748347,0.000007931717,0.00003896112,0.000146615,0.00006615626],"domain_scores_gemma":[0.9996628,0.0000342698,0.00001243759,0.00002131907,0.0001726965,0.00009657346],"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":[0.000005808312,0.000001689123,0.0000703778,0.00003152669,9.979234e-7,0.00006914088,0.0004829957,0.00002907404,0.00005487524,0.008365773,0.9802613,0.01062645],"study_design_scores_gemma":[0.00000100493,0.000001564349,0.0002813368,0.00002297105,0.000001045232,0.00002643112,0.0001863062,0.00001251252,0.00002583791,0.0002720819,0.9991665,0.000002456077],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002326531,0.03134746,0.0006787752,0.02199927,0.009094432,0.00006446778,0.003757673,0.0005686514,0.9301626],"genre_scores_gemma":[0.005105546,0.003312111,0.0002022109,0.00141865,0.0002181236,0.00001193321,0.0004984399,0.0001480401,0.989085],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3530266,"threshold_uncertainty_score":0.7102112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532881368404393,"score_gpt":0.202969796872693,"score_spread":0.187640983188649,"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."}}