{"id":"W1997830707","doi":"10.5558/tfc80718-6","title":"An examination of value-added and variable cost trends across Canadian forest regions and sectors","year":2004,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Variable (mathematics); Value (mathematics); Forest industry; Added value; Variable cost; Profit (economics); Production (economics); Investment (military); Variables; Economics; Government (linguistics); Natural resource economics; Business; Forestry; Geography; Microeconomics; Statistics; Mathematics; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007425545,0.0001737773,0.0002552971,0.003359659,0.000989789,0.0009330657,0.0005520991,0.0001776819,0.001631376],"category_scores_gemma":[0.003489752,0.0001087802,0.0003919058,0.007597157,0.0003985961,0.0003145435,0.0003546518,0.0003470349,0.0001588356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01281055,"about_ca_system_score_gemma":0.01346722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9889177,"about_ca_topic_score_gemma":0.9945914,"domain_scores_codex":[0.9993302,0.000043255,0.00002866637,0.0001080581,0.0002827583,0.000206989],"domain_scores_gemma":[0.9972204,0.0003248595,0.0004288514,0.0001030142,0.001740491,0.0001824702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001012711,0.00001729541,0.9606407,0.00007170658,0.00009716603,0.0001609407,0.001340231,0.002604315,0.00107823,0.001660386,0.002295439,0.02993241],"study_design_scores_gemma":[7.810451e-7,0.000007763025,0.9962968,0.000006885173,0.00001806154,0.00001820841,0.0007526235,0.0007926151,0.0001375998,0.00003866494,0.001924226,0.000005763409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9831034,0.001061654,0.0005043362,0.0003243825,0.000006252087,0.00002399316,0.0073396,0.00003209859,0.00760431],"genre_scores_gemma":[0.9927263,0.0005786968,0.0003993888,0.0000319628,0.000002776551,0.000007459973,0.003894483,0.000007827027,0.002351146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01281055,"threshold_uncertainty_score":0.09294742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01170437345037043,"score_gpt":0.2455017133938869,"score_spread":0.2337973399435165,"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."}}