{"id":"W3019520106","doi":"10.1139/cjfr-2019-0380","title":"Integrated forest harvest planning and road-building model with consideration of economies of scale","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; École de Technologie Supérieure","funders":"","keywords":"Time horizon; Context (archaeology); Scale (ratio); Forest road; Plan (archaeology); Mill; Economies of scale; Transport engineering; Flow network; Total cost; Integer programming; Operations research; Environmental science; Computer science; Business; Engineering; Forestry; Geography; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003122874,0.0000815163,0.0001922688,0.0004304499,0.00006224353,0.00006273048,0.0001277299,0.00004385957,0.00001909031],"category_scores_gemma":[0.0001001803,0.00007128984,0.00002588609,0.0002496378,0.0002076172,0.0002235928,0.00001384341,0.0001904166,6.134231e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007165736,"about_ca_system_score_gemma":0.0003904482,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009339263,"about_ca_topic_score_gemma":0.0760376,"domain_scores_codex":[0.999208,0.00002703008,0.0003122119,0.00007802085,0.0001645266,0.0002102624],"domain_scores_gemma":[0.9991596,0.00003750918,0.00007334968,0.00007611452,0.0002931932,0.0003602134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000484298,0.0000051639,0.3136836,0.0002356496,0.00007286826,0.00003730471,0.001224481,0.6742491,0.001108802,0.006141374,0.002316335,0.0008769971],"study_design_scores_gemma":[0.001208234,0.0006182501,0.2057402,0.0006082012,0.0000303115,0.00004316539,0.002279977,0.7786613,0.00699883,0.001153712,0.002439479,0.0002183892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9870788,0.0003714888,0.01066802,0.0003351241,0.00002831863,0.0001209595,0.00001524923,0.000006324986,0.001375673],"genre_scores_gemma":[0.9977096,0.00002628417,0.002169841,0.00001856437,0.00002293671,0.000001859675,0.000004697471,0.0000162687,0.00002997062],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1079433,"threshold_uncertainty_score":0.9408223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0576919163379464,"score_gpt":0.2758449707982517,"score_spread":0.2181530544603053,"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."}}