{"id":"W4411277631","doi":"10.9752/ts051.06-2025","title":"Agricultural Refrigerated Truck Quarterly Report, June 2025","year":2025,"lang":"en","type":"report","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Agriculture; Agricultural economics; Environmental science; Agricultural science; Engineering; Geography; Economics; Automotive engineering; Archaeology","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":[0.0005261437,0.0004812773,0.0001898663,0.001203838,0.0004591061,0.001418417,0.0005523062,0.0003855279,0.1165219],"category_scores_gemma":[0.001304047,0.000216953,0.0002248674,0.001760891,0.00006843761,0.0008435011,0.0003712959,0.0005304551,0.08301418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001299666,"about_ca_system_score_gemma":0.002646372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06653946,"about_ca_topic_score_gemma":0.08751935,"domain_scores_codex":[0.9995503,0.00002190562,0.00003137704,0.00005260602,0.0002917827,0.00005201581],"domain_scores_gemma":[0.9989824,0.00004293738,0.00005791687,0.00003483615,0.0008229701,0.00005893427],"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":[0.00005445661,0.00003916002,0.002316965,0.00008354375,0.000004191841,0.0000209763,0.00001374584,0.00007586887,0.000170599,0.0003491752,0.9770181,0.01985335],"study_design_scores_gemma":[0.000009950742,0.00002350643,0.01510765,0.00008828754,0.000006530201,0.00001816195,0.0001168626,0.0001029762,0.0003336834,0.0001094748,0.9840767,0.000006191839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.006501929,0.002243509,0.0009195214,0.002640708,0.002917773,0.000249881,0.6780913,0.000920865,0.3055146],"genre_scores_gemma":[0.01827558,0.003684134,0.001483814,0.001002857,0.0003554865,0.0002184363,0.532605,0.0002255144,0.4421492],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1165219,"threshold_uncertainty_score":0.3898047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01378651918092203,"score_gpt":0.2545970237698947,"score_spread":0.2408105045889727,"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."}}