{"id":"W3175574655","doi":"10.15202/25254146.2019v4n3p56","title":"DESENVOLVIMENTO E IMPLEMENTAÇÃO DE SISTEMA ELETRÔNICO DE ALERTA DE CHUVAS PARA ÁREAS DE RISCO","year":2021,"lang":"pt","type":"article","venue":"Projectus","topic":"Geography and Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"PROTO Manufacturing (Canada)","funders":"","keywords":"Political science; Geography; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001097517,0.0006355437,0.0005357623,0.00008551156,0.0008476736,0.0001904298,0.000612473,0.0002699064,0.006031608],"category_scores_gemma":[0.0001034896,0.00066565,0.0004642239,0.0005608026,0.0004812776,0.000231273,0.001022161,0.00048066,0.0008394519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172075,"about_ca_system_score_gemma":0.0002084076,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008337094,"about_ca_topic_score_gemma":0.003562324,"domain_scores_codex":[0.9947305,0.0005625148,0.0006013679,0.001053755,0.0006616205,0.00239025],"domain_scores_gemma":[0.9982451,0.0001827635,0.0002237629,0.0007188597,0.00001030068,0.0006191652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000763406,0.0008452048,0.9412469,0.0001715658,0.0004136232,0.000364617,0.006593973,0.000398539,0.0348435,0.00004356489,0.006386123,0.008616077],"study_design_scores_gemma":[0.001558794,0.0003361418,0.8915735,0.000149787,0.0004990599,0.0004245994,0.0104483,0.001296049,0.06226357,0.0007766577,0.02959154,0.001081919],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799352,0.007790213,0.001542666,0.001462924,0.0001885935,0.0007691302,0.0001130098,0.00009527038,0.008103012],"genre_scores_gemma":[0.9873501,0.003771569,0.003504663,0.001505053,0.0001491278,0.0002717391,0.00004395453,0.00007240334,0.003331363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0496733,"threshold_uncertainty_score":0.9999385,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03061358904775415,"score_gpt":0.2842689501960712,"score_spread":0.253655361148317,"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."}}