{"id":"W2072305439","doi":"10.5558/tfc77117-1","title":"Forest harvesting operations in South Africa","year":2001,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Logging; Agroforestry; Geography; Agriculture; Forestry; Key (lock); Business; Ecology; Environmental science; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002995289,0.0001740358,0.00009006508,0.001206049,0.002283816,0.001155109,0.0001718145,0.0003518112,0.006006709],"category_scores_gemma":[0.0006699536,0.0001363511,0.00007913223,0.003689814,0.0006022006,0.0009456519,0.0008452893,0.0003039269,0.0002519769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001380954,"about_ca_system_score_gemma":0.00216522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03239439,"about_ca_topic_score_gemma":0.1466452,"domain_scores_codex":[0.9997944,0.00004180844,0.00001879823,0.00002088496,0.00003582827,0.00008815179],"domain_scores_gemma":[0.9996018,0.0001404787,0.0001304817,0.000007666927,0.00004332779,0.00007623069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003213104,0.0002200137,0.3533573,0.002950172,0.00004744782,0.01727903,0.1400922,0.001914778,0.02397458,0.0172589,0.01831199,0.4242724],"study_design_scores_gemma":[0.00001688165,0.0001798404,0.7543066,0.0005870369,0.00001930583,0.00282895,0.09383661,0.0003176221,0.001054485,0.001662875,0.1451548,0.00003507201],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9622952,0.00697403,0.00028517,0.003466435,0.0001045979,0.00005621213,0.0002523952,0.000009791129,0.02655614],"genre_scores_gemma":[0.9782838,0.01156638,0.0004238813,0.0003062145,0.00004125306,0.00003635074,0.0001879006,0.000005993713,0.009148278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03239439,"threshold_uncertainty_score":0.0644117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02071388487408244,"score_gpt":0.2221930331560055,"score_spread":0.2014791482819231,"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."}}