{"id":"W4394748887","doi":"10.4322/rae.v12n1.e201709.en","title":"HEALTH AND WORKING CONDITIONS IN MANUAL FOREST EXTRACTION IN MOUNTAIN LAND","year":2017,"lang":"en","type":"article","venue":"Revista Ação Ergonômica","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Air (Canada)","funders":"","keywords":"Extraction (chemistry); Geography; Environmental science; Forestry; Chemistry","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":[0.0002909501,0.0001443763,0.0001761494,0.0007360135,0.001084335,0.000843594,0.0002162272,0.0004817833,0.004270332],"category_scores_gemma":[0.0007269896,0.000199148,0.0003127181,0.0007691933,0.0003565204,0.0003821411,0.0005439459,0.0002610678,0.0004724388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005736571,"about_ca_system_score_gemma":0.0004669008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04163627,"about_ca_topic_score_gemma":0.06205144,"domain_scores_codex":[0.9997421,0.0000643431,0.00001623002,0.00003576598,0.00004403441,0.00009757869],"domain_scores_gemma":[0.9995829,0.00007141312,0.0001444699,0.00001845223,0.0000617897,0.0001208764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007486538,0.0001227803,0.9920106,0.00001972102,0.0000123591,0.0002891082,0.003838273,0.00003649653,0.00040982,0.00003081504,0.0001057205,0.003049526],"study_design_scores_gemma":[0.000001306896,0.000144463,0.9942337,0.000008261966,0.00000331346,0.0000897204,0.005251946,0.00004073739,0.00002674445,0.0000168289,0.0001800219,0.000002911002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994608,0.00004510786,0.00001219799,0.00002520122,0.000001450012,0.00000508138,0.00007043856,5.23683e-7,0.0003792674],"genre_scores_gemma":[0.9990735,0.00005855174,0.0000212028,0.00001736113,0.000003313631,0.000007979018,0.00006106834,5.186401e-7,0.0007564271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04163627,"threshold_uncertainty_score":0.08278781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01947684413307449,"score_gpt":0.2989062884720798,"score_spread":0.2794294443390054,"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."}}