{"id":"W1581944044","doi":"","title":"DELIVERY -- The Transportation of Raw Natural Resource Product from Roadside to Mill","year":2000,"lang":"en","type":"article","venue":"International Journal of Forest Engineering","topic":"Mining Techniques and Economics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Mill; Natural resource; Product (mathematics); Raw material; Resource (disambiguation); Waste management; Business; Engineering; Environmental science; Transport engineering; Natural resource economics; Computer science; Economics; Chemistry; Mathematics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001128648,0.00008609213,0.0001220384,0.0001028682,0.000009170983,0.00002020856,0.0003298405,0.00002457539,0.00006227854],"category_scores_gemma":[0.00001759171,0.00007156553,0.00008341779,0.00005260145,0.000007814073,0.0001369207,0.000005352219,0.0001442069,0.000003934265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005777306,"about_ca_system_score_gemma":0.000008294318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003610944,"about_ca_topic_score_gemma":0.00003602103,"domain_scores_codex":[0.9993299,0.000003739168,0.0003644745,0.00005863777,0.0001538275,0.00008938711],"domain_scores_gemma":[0.9996948,0.00004790754,0.00005709202,0.00009212998,0.00007119861,0.00003690083],"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":[0.00003607691,0.000005588972,0.000792767,0.000004263196,0.00006959352,0.000009789402,0.000434503,0.984133,0.005724028,0.0000759552,0.0009445056,0.007769945],"study_design_scores_gemma":[0.001410968,0.0001984242,0.1692113,0.001019856,0.0001196782,0.0001692079,0.0001923879,0.5227232,0.1385176,0.0007695367,0.1648957,0.0007721486],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930483,0.0003787626,0.005731849,0.0001638906,0.0004586956,0.0000494279,0.00001125721,0.00003688368,0.0001208952],"genre_scores_gemma":[0.9933456,0.0001012495,0.006110682,0.00003320071,0.000356827,0.000002124043,0.000008627032,0.00001874749,0.0000230029],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4614098,"threshold_uncertainty_score":0.2918358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003806012017264769,"score_gpt":0.1791266584804794,"score_spread":0.1753206464632146,"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."}}