{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004309749,0.0003035488,0.0002934413,0.001250021,0.001978202,0.002415058,0.0004302896,0.0002732073,0.00231471],"category_scores_gemma":[0.0009865824,0.000223447,0.0003578815,0.002411736,0.001196796,0.0003108107,0.0008467707,0.0003160612,0.0001581645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006383447,"about_ca_system_score_gemma":0.01164781,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.922692,"about_ca_topic_score_gemma":0.9697503,"domain_scores_codex":[0.9994621,0.00005450672,0.00001399162,0.0001056757,0.0002158263,0.0001481034],"domain_scores_gemma":[0.9988576,0.0001491706,0.0001925451,0.00003872723,0.000638614,0.0001233309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004340162,0.00005465774,0.9145737,0.0003798695,0.0001534968,0.0005363533,0.02389996,0.000810775,0.02453813,0.00225162,0.00109694,0.03127054],"study_design_scores_gemma":[0.000001240918,0.00002849851,0.9824965,0.00003418811,0.00003566486,0.00003717106,0.01290803,0.000182091,0.001106592,0.0001280083,0.003026295,0.00001580526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904057,0.0005384561,0.0003611104,0.0001220964,0.000005445891,0.00002059592,0.0007604432,0.00001079722,0.007775365],"genre_scores_gemma":[0.9942794,0.0006008291,0.0005737664,0.00003435118,0.00000194767,0.00001343133,0.0003617099,0.000006377782,0.004128332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.077308,"threshold_uncertainty_score":0.1555265,"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."}}