{"id":"W2742760304","doi":"10.30969/acsa.v11i2.614","title":"Caracterização agroclimática e aptidão de culturas para diferentes municípios e regiões da Paraíba","year":2015,"lang":"pt","type":"article","venue":"AGROPECUÁRIA CIENTÍFICA NO SEMIÁRIDO","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Turfgrass Research Foundation","funders":"","keywords":"Political science","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":[0.0004745649,0.0002891904,0.0002300141,0.001407286,0.0008733203,0.001029536,0.0004641263,0.0001771178,0.002579905],"category_scores_gemma":[0.001258712,0.0002412367,0.0002682628,0.003185014,0.0005500181,0.0003849213,0.0007536479,0.0002471256,0.0004373957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00153256,"about_ca_system_score_gemma":0.001313261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1184271,"about_ca_topic_score_gemma":0.3756421,"domain_scores_codex":[0.9996532,0.00007068504,0.0000191174,0.00009048673,0.00006308064,0.0001034484],"domain_scores_gemma":[0.9988886,0.0002405601,0.0002872742,0.0001038329,0.0003337869,0.0001459542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001748876,0.00001721256,0.9618927,0.000144056,0.00003655914,0.0002558352,0.008286538,0.0003280845,0.01236494,0.0002876933,0.0001406355,0.01607104],"study_design_scores_gemma":[8.574626e-7,0.00002513038,0.9967263,0.000007253193,0.000006544733,0.00006040188,0.002235982,0.00009699484,0.0002981131,0.00002723611,0.0005114043,0.000003853693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995883,0.0002391794,0.0002411012,0.00003494951,0.000002632813,0.00001463611,0.0006929212,0.00001143476,0.002880099],"genre_scores_gemma":[0.9977468,0.0001854443,0.0005538199,0.000006141709,0.000001367069,0.0000131921,0.0002905288,0.000004752022,0.001198028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1184271,"threshold_uncertainty_score":0.2354757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07772791898728537,"score_gpt":0.2654097270157407,"score_spread":0.1876818080284554,"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."}}