{"id":"W3215415692","doi":"","title":"TÉCNICAS DE GEOPROCESSAMENTO E SENSORIAMENTO REMOTO APLICADAS NA AVALIAÇÃO DO POTENCIAL HIDROGEOLÓGICO DA FOLHA IRAUÇUBA","year":2003,"lang":"pt","type":"article","venue":"Geology Geophysics & Environment","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Physics; Art","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":[0.0008138954,0.0008841665,0.0006402065,0.001693797,0.0006024006,0.00154683,0.001013757,0.0009485332,0.002707961],"category_scores_gemma":[0.001196675,0.0006589071,0.000807751,0.00221679,0.0004515452,0.001155474,0.001035106,0.0005510908,0.00116565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006152604,"about_ca_system_score_gemma":0.0009335362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008950128,"about_ca_topic_score_gemma":0.01674709,"domain_scores_codex":[0.9991348,0.00006382495,0.00003646165,0.0003058361,0.0003984759,0.00006058197],"domain_scores_gemma":[0.9992693,0.0001564494,0.00009110544,0.0001414023,0.0002973158,0.00004434018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005163868,0.0001769187,0.07392298,0.001269974,0.0001316967,0.0004040798,0.001523497,0.02094845,0.4980514,0.001880875,0.002520081,0.3986537],"study_design_scores_gemma":[0.00009001452,0.0009254797,0.2145106,0.0003139897,0.000456604,0.001003581,0.002483615,0.2318118,0.4602854,0.005328758,0.08248415,0.0003061124],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4453672,0.002127005,0.5177718,0.0006117618,0.0003258202,0.0007574759,0.004254734,0.006848412,0.02193595],"genre_scores_gemma":[0.6867218,0.001839865,0.3014252,0.0001748572,0.00004892036,0.0004301152,0.001331025,0.0003667875,0.007661457],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008950128,"threshold_uncertainty_score":0.01779604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232779182769734,"score_gpt":0.2197136234714588,"score_spread":0.2073858316437615,"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."}}