{"id":"W2055803141","doi":"10.3141/1989-04","title":"Log Truck Transportation on Public Roads in New Zealand","year":2007,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Truck; Transport engineering; Production (economics); Environmental science; Government (linguistics); Tonne; Distribution (mathematics); Business; Agricultural economics; Natural resource economics; Engineering; Economics; Waste management","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":[0.0003130954,0.0004366219,0.0002280526,0.0009059052,0.0006412498,0.00126227,0.0008485233,0.0003943133,0.003724174],"category_scores_gemma":[0.000950226,0.0003925624,0.0006139252,0.001454287,0.0006090277,0.001442852,0.0004869797,0.0004711158,0.0005079909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01081711,"about_ca_system_score_gemma":0.003166211,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8358968,"about_ca_topic_score_gemma":0.850765,"domain_scores_codex":[0.9997209,0.00002152674,0.00001681484,0.00007768151,0.00009595232,0.00006720223],"domain_scores_gemma":[0.9997314,0.00003849799,0.00008217982,0.00002022071,0.00009793574,0.00002966143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005006265,0.0007339472,0.6549164,0.0002989414,0.0001525905,0.002739771,0.002800169,0.2593775,0.007442617,0.003569452,0.005122219,0.06234579],"study_design_scores_gemma":[0.00006777606,0.0003544901,0.6761313,0.00007638618,0.00007208232,0.0003392648,0.006437195,0.3050384,0.001518177,0.0009158254,0.008935718,0.0001134371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925719,0.00005033184,0.0005346774,0.00008808437,0.00000624341,0.00004548244,0.001070533,0.00005805565,0.005574685],"genre_scores_gemma":[0.9961374,0.0001534557,0.0004636174,0.000007145868,0.000002026838,0.00001753981,0.0009760521,0.00001242551,0.002230191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8358968,"threshold_uncertainty_score":0.3301393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07323443901502662,"score_gpt":0.3482518215555852,"score_spread":0.2750173825405586,"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."}}