{"id":"W4386274294","doi":"10.29327/sober2023.626036","title":"AGRICULTURA DE PRECISÃO E NOVAS TECNOLOGIAS: IMPACTOS E DESAFIOS NO SETOR SUCROENERGÉTICO","year":2023,"lang":"pt","type":"article","venue":"","topic":"Rural Development and Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Political science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002518161,0.0005127019,0.000379374,0.00155542,0.001059051,0.00413025,0.0006586281,0.000854112,0.01131237],"category_scores_gemma":[0.002734764,0.0002093964,0.0004481844,0.003103979,0.001505534,0.001098602,0.001772119,0.00076909,0.001073407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002188907,"about_ca_system_score_gemma":0.003636766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03220256,"about_ca_topic_score_gemma":0.06232218,"domain_scores_codex":[0.9975581,0.0006965541,0.0001027585,0.0002056192,0.001183899,0.0002530438],"domain_scores_gemma":[0.9971541,0.0007783088,0.0004201367,0.0003892771,0.000821451,0.0004367839],"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":[0.0006386264,0.0005213301,0.09093926,0.001734734,0.0001242119,0.0006693517,0.004044269,0.001485819,0.03205895,0.03053288,0.0134233,0.8238273],"study_design_scores_gemma":[0.00007044512,0.001016935,0.5930243,0.0009128536,0.0002056337,0.0009434361,0.008163549,0.0009734022,0.01416641,0.0117693,0.3686599,0.00009388139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5825433,0.04499926,0.004270912,0.01001979,0.0006096672,0.0001939521,0.001380427,0.0002921161,0.3556907],"genre_scores_gemma":[0.9409893,0.01872694,0.004416734,0.0004656242,0.000116836,0.00004453165,0.0006351688,0.00004786644,0.03455693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03220256,"threshold_uncertainty_score":0.06403029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148112460220232,"score_gpt":0.2214132819838331,"score_spread":0.2099321573816308,"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."}}