{"id":"W2025049778","doi":"10.15628/holos.2012.681","title":"SISCI - SISTEMA PARA CONTROLE DE IRRIGAÇÃO ATRAVÉS DE DISPOSITIVOS CELULARES","year":2012,"lang":"pt","type":"article","venue":"Holos","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Humanities; Physics; Art","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004176249,0.0003344947,0.0002979634,0.00002511301,0.0003243412,0.0001059433,0.0003689006,0.000258071,0.001988976],"category_scores_gemma":[0.00003378437,0.0002440168,0.0001727989,0.0001999615,0.0001513284,0.0004427624,0.0001743889,0.0002684288,0.004401895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003485825,"about_ca_system_score_gemma":0.00002443864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001759006,"about_ca_topic_score_gemma":0.00006226642,"domain_scores_codex":[0.997613,0.0001844209,0.0003044419,0.0003396953,0.0003932211,0.001165182],"domain_scores_gemma":[0.9990344,0.00007751024,0.0001306788,0.0002420516,0.000009214533,0.0005061693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007121988,0.000510728,0.6891859,0.00008181056,0.0001141939,0.00008765909,0.006669888,0.00008382607,0.2628691,0.0002075232,0.03347984,0.006638337],"study_design_scores_gemma":[0.0003861933,0.00005920676,0.9471043,0.00008734136,0.0001022496,0.00005565192,0.0005577487,0.0001916003,0.03537489,0.00008548813,0.01552663,0.0004686529],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883633,0.001998335,0.0003187269,0.002074933,0.0002902471,0.0004502951,0.00004745837,0.0000696122,0.006387155],"genre_scores_gemma":[0.9771071,0.00006899123,0.0003558695,0.0008352523,0.0003178461,0.00004663392,0.00003169976,0.0000220414,0.02121458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2579184,"threshold_uncertainty_score":0.9989234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01420321037180686,"score_gpt":0.2373832158723851,"score_spread":0.2231800055005782,"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."}}