{"id":"W4297523341","doi":"10.5539/jms.v12n2p58","title":"Geoenvironmental Mapping for the Delimitation of Regulated Areas for Use and Occupation","year":2022,"lang":"en","type":"article","venue":"Journal of Management and Sustainability","topic":"Soil and Land Suitability Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Legislation; Sustainability; Natural resource; Geography; Plan (archaeology); Environmental planning; Resource (disambiguation); Work (physics); Environmental resource management; Natural (archaeology); Environmental protection; Political science; Archaeology; Environmental science; Ecology; Engineering; Law; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0006052225,0.0002457497,0.0001182797,0.003441934,0.0007097445,0.0008931422,0.000287591,0.0001474534,0.00569142],"category_scores_gemma":[0.00119042,0.00009119462,0.0001838024,0.003938732,0.0003412827,0.0005224018,0.0007981791,0.0001995365,0.0007690815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004617348,"about_ca_system_score_gemma":0.001161919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009429352,"about_ca_topic_score_gemma":0.03334081,"domain_scores_codex":[0.999436,0.0002291447,0.00003498473,0.00006713235,0.0001679181,0.00006485961],"domain_scores_gemma":[0.9993773,0.0001724603,0.0001310446,0.00007366977,0.0002050272,0.00004048599],"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":[0.0001096887,0.0001693882,0.4535369,0.0004343643,0.00004900762,0.0005182117,0.006018322,0.004665927,0.01860199,0.02078014,0.007156504,0.4879595],"study_design_scores_gemma":[0.000006494022,0.0000774522,0.8811995,0.0001493007,0.00004024525,0.0005312665,0.01569318,0.01266757,0.005754757,0.003853607,0.07998983,0.00003670941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7872177,0.0007431164,0.1061659,0.0004166708,0.00004326161,0.0006138787,0.005642567,0.0003563747,0.0988004],"genre_scores_gemma":[0.9048181,0.0002584572,0.08715074,0.0000257445,0.000009802348,0.0003123069,0.001743493,0.00003765602,0.00564383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009429352,"threshold_uncertainty_score":0.01903963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01502953418934027,"score_gpt":0.2268117960816365,"score_spread":0.2117822618922963,"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."}}