{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005177941,0.0003219205,0.0002423904,0.0005340989,0.001183926,0.001911343,0.000809101,0.0007566307,0.0233533],"category_scores_gemma":[0.0008531648,0.000291616,0.0005662968,0.0006750758,0.000270234,0.001363555,0.0008573548,0.0005101927,0.01116613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001263436,"about_ca_system_score_gemma":0.001680466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01067725,"about_ca_topic_score_gemma":0.008885794,"domain_scores_codex":[0.9995878,0.00005391111,0.00002405923,0.0001028036,0.0001403671,0.00009100272],"domain_scores_gemma":[0.9995061,0.00007797356,0.00007643165,0.00008169391,0.0002262253,0.00003155083],"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":[0.002011931,0.001032631,0.04284853,0.001292532,0.0001066582,0.0009691843,0.001076738,0.01359256,0.2548594,0.02793706,0.02875024,0.6255226],"study_design_scores_gemma":[0.0001569479,0.004225848,0.08460614,0.0004374374,0.0003089785,0.002528792,0.005045038,0.05015596,0.5818211,0.01096229,0.2595928,0.0001585743],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6354473,0.001828293,0.1904916,0.002032781,0.0005284288,0.001310073,0.007340793,0.002335418,0.1586853],"genre_scores_gemma":[0.8449711,0.0009850315,0.03299156,0.0002392695,0.00005437669,0.0001524487,0.002385049,0.0003134504,0.1179077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0233533,"threshold_uncertainty_score":0.07812458,"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."}}