{"id":"W2134184405","doi":"10.5380/rf.v41i4.25354","title":"CARACTERIZAÇÃO DO AMBIENTE DE NEGÓCIOS PARA PRODUÇÃO DE MADEIRA SERRADA NO BRASIL E NO CANADÁ","year":2011,"lang":"pt","type":"article","venue":"FLORESTA","topic":"Agricultural and Food Sciences","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Humanities; Political science; Agricultural science; Art; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005110038,0.0005677791,0.0004816323,0.00003239917,0.000749025,0.0003111004,0.001397723,0.0003729795,0.0033999],"category_scores_gemma":[0.0001828978,0.0002271833,0.0002677217,0.000836367,0.0003425922,0.0006693786,0.0003211358,0.0005005942,0.001821587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732073,"about_ca_system_score_gemma":0.0001640006,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02033364,"about_ca_topic_score_gemma":0.01245396,"domain_scores_codex":[0.9959265,0.0002791948,0.0005424105,0.001026736,0.0005936942,0.001631474],"domain_scores_gemma":[0.9982058,0.00008859808,0.0002965207,0.0002529942,0.0003023903,0.0008536504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006830157,0.001157487,0.4718559,0.0002081683,0.0002112552,0.0005737214,0.01436826,0.00001433761,0.3923162,0.0006897898,0.09599353,0.02192831],"study_design_scores_gemma":[0.0002037562,0.001217034,0.9517655,0.0001414282,0.00006265863,0.00007059507,0.00239467,0.0003032576,0.002315481,0.0001224576,0.0405614,0.0008417362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870536,0.0004256456,0.000003034095,0.001696396,0.001669115,0.0005260817,0.000228401,0.0001136377,0.00828408],"genre_scores_gemma":[0.9716489,0.0002384568,0.0001815116,0.0008710867,0.001548969,0.00004434359,0.00007291248,0.000005713989,0.02538816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4799096,"threshold_uncertainty_score":0.9989556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949334204003333,"score_gpt":0.2287195186961983,"score_spread":0.179226176656165,"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."}}