{"id":"W4362604706","doi":"10.9752/ts051.03-2023","title":"Agricultural Refrigerated Truck Quarterly, March 2023","year":2023,"lang":"en","type":"report","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Agriculture; Agricultural science; Environmental science; Agricultural economics; Business; Engineering; Geography; Economics; Archaeology; Automotive engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.000291631,0.0004056989,0.0001492898,0.001115108,0.0007086246,0.001740272,0.0003808413,0.0003403078,0.2216235],"category_scores_gemma":[0.000934479,0.0002076163,0.0001895776,0.001754094,0.000096118,0.0006006391,0.0003979746,0.0004424599,0.1698985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052339,"about_ca_system_score_gemma":0.001179621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03745323,"about_ca_topic_score_gemma":0.07659719,"domain_scores_codex":[0.9997136,0.00001229056,0.00002134894,0.00003616243,0.000181394,0.00003525466],"domain_scores_gemma":[0.9993557,0.00003421024,0.00004438527,0.00003681104,0.0004792617,0.00004952182],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003855124,0.00003134668,0.002222948,0.00005576114,0.000002090882,0.00003103072,0.00001732554,0.00003903164,0.0002793942,0.0001709814,0.9621497,0.03496193],"study_design_scores_gemma":[0.000006180912,0.00002039167,0.01409353,0.00007355589,0.000002759687,0.00003339634,0.0001149278,0.0001014205,0.00030102,0.00007221179,0.9851752,0.000005379922],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0171632,0.003027446,0.000802616,0.004137741,0.006704868,0.0002331935,0.2209616,0.00190372,0.7450657],"genre_scores_gemma":[0.02082717,0.003340532,0.0007552078,0.001019555,0.0006947666,0.0001170082,0.1337679,0.0002891499,0.8391888],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2216235,"threshold_uncertainty_score":0.7414044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04352010002884365,"score_gpt":0.2882352978937608,"score_spread":0.2447151978649171,"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."}}