{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003891593,0.000630235,0.0004275559,0.00008849109,0.000453551,0.000286984,0.0008742739,0.0004805749,0.01476185],"category_scores_gemma":[0.0001868166,0.000364488,0.0002553089,0.001873921,0.0001756544,0.0005793785,0.000686963,0.0004612776,0.06078976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006174482,"about_ca_system_score_gemma":0.00005797534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003370033,"about_ca_topic_score_gemma":0.0002782152,"domain_scores_codex":[0.9962081,0.0001140016,0.0005347828,0.0008409682,0.0007338272,0.001568309],"domain_scores_gemma":[0.9987595,0.0001356593,0.0001720774,0.0003828067,0.00004982814,0.0005001027],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00002625428,0.0001287428,0.03246725,0.00003441083,0.00009315003,0.00008896338,0.0008724727,0.0005088155,0.143456,0.00004568825,0.8153567,0.006921594],"study_design_scores_gemma":[0.0006402085,0.0002078472,0.8679018,0.0001131988,0.00006943191,0.0000666799,0.001722863,0.0007932177,0.02312255,0.00009656735,0.1041392,0.001126469],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.946355,0.00009995916,0.00009433043,0.006282681,0.001273871,0.0009966451,0.00009705903,0.0009548259,0.04384566],"genre_scores_gemma":[0.6521327,0.001107585,0.001035935,0.0008340976,0.0004038264,0.00007287897,0.000197665,0.00003829801,0.344177],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8354346,"threshold_uncertainty_score":0.9998807,"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."}}