{"id":"W2952739112","doi":"10.1016/j.scitotenv.2019.06.079","title":"Spatiotemporal analysis of the housing bubble's contribution to the proliferation of illegal landfills – The case of Gran Canaria","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministerio de Ciencia, Innovación y Universidades","keywords":"Urban expansion; Cellular automaton; Real estate; Environmental science; Boom; Demolition waste; Demolition; Urban planning; Geography; Environmental engineering; Computer science; Civil engineering; Business; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005333829,0.0001357659,0.0002135908,0.00146806,0.0005614849,0.002031322,0.0009328946,0.001082205,0.005058637],"category_scores_gemma":[0.002071963,0.0001797681,0.0004008269,0.002757452,0.0009406046,0.0008937169,0.001076557,0.0007704217,0.0003275578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002194677,"about_ca_system_score_gemma":0.0009516879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2603366,"about_ca_topic_score_gemma":0.3478717,"domain_scores_codex":[0.9997945,0.00006043154,0.00001121181,0.00003673911,0.00002584449,0.00007120936],"domain_scores_gemma":[0.9988042,0.0004327846,0.0003459699,0.00009036015,0.0001672775,0.0001593607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000726872,0.0003578847,0.8639154,0.0001478318,0.0004767843,0.004086778,0.002391351,0.07535637,0.002586588,0.0253139,0.008810608,0.01582968],"study_design_scores_gemma":[0.00005496914,0.00009253341,0.8385394,0.0000505382,0.0002243273,0.0003802008,0.01631587,0.1284671,0.0005561061,0.004390121,0.01084846,0.00008044136],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942302,0.0001776746,0.0002602609,0.0007755512,0.000008520843,0.000007034252,0.0008246804,0.00001896179,0.003697101],"genre_scores_gemma":[0.9990128,0.00008877127,0.00009178303,0.00001544396,0.000006018304,0.000002711,0.0002498476,0.000005583093,0.0005268231],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2603366,"threshold_uncertainty_score":0.5176426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005057489270388072,"score_gpt":0.1954687508070896,"score_spread":0.1904112615367015,"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."}}