{"id":"W1978602051","doi":"10.1139/x2012-018","title":"Estimating damage from selective logging and implications for tropical forest management","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logging; Pantropical; Diameter at breast height; Environmental science; Forestry; Geography; Forest management; Agroforestry; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007122743,0.00009466252,0.000123713,0.00026841,0.0004649963,0.0001084169,0.0003315728,0.00004662104,0.000311737],"category_scores_gemma":[0.0001893192,0.00008559572,0.00004975052,0.0002556264,0.0003024993,0.0003794239,0.0000929472,0.0002522565,0.00007436387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444297,"about_ca_system_score_gemma":0.00006503935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008663876,"about_ca_topic_score_gemma":0.05018112,"domain_scores_codex":[0.9986451,0.00006590251,0.0002210771,0.000138956,0.0002120463,0.0007169038],"domain_scores_gemma":[0.998732,0.0002398522,0.00007656026,0.0001693731,0.00003835345,0.0007438526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001085392,0.00001432659,0.9585365,0.00001283292,0.0000282202,0.000006321904,0.0003714994,0.0007705824,0.00001557615,0.008344597,0.02642446,0.005464232],"study_design_scores_gemma":[0.0003033731,0.00008781725,0.9496394,0.00002450102,0.00001993696,0.00001010854,0.00006921869,0.001510417,0.000005064871,0.01153281,0.03671071,0.00008656697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834699,0.0001372735,0.002105607,0.001725997,0.0001183394,0.0003634777,0.00002067533,0.000004662354,0.01205409],"genre_scores_gemma":[0.9876279,0.00001070226,0.01122063,0.00008005164,0.0003475111,0.00002525577,0.000007651956,0.00001595296,0.0006643765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04151725,"threshold_uncertainty_score":0.9979375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04696443415246782,"score_gpt":0.3389490178796064,"score_spread":0.2919845837271385,"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."}}