{"id":"W6941421915","doi":"10.13023/ktc.rr.2023.07","title":"Investigation of Illegal Weigh Station Bypassing","year":2023,"lang":"en","type":"report","venue":"UKnowledge (University of Kentucky)","topic":"Mycorrhizal Fungi and Plant Interactions","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Enforcement; Law enforcement; Revenue; Warrant; Best practice; State (computer science)","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":[0.0008518813,0.0002109339,0.0001217796,0.002110181,0.002175575,0.001142475,0.0006725281,0.0004919288,0.004056931],"category_scores_gemma":[0.002822691,0.0002106887,0.000138626,0.001243056,0.0005279208,0.0006468716,0.0007878439,0.0005669316,0.0005371876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001584107,"about_ca_system_score_gemma":0.004034502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06412727,"about_ca_topic_score_gemma":0.1457504,"domain_scores_codex":[0.9987559,0.000157444,0.00008349948,0.0001616972,0.0006031249,0.0002383259],"domain_scores_gemma":[0.9971427,0.0003229245,0.001233248,0.0001481264,0.0009206626,0.0002323426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007798693,0.0004418071,0.9074295,0.0002333915,0.00001992246,0.001940388,0.006473273,0.0001579,0.005142033,0.002180451,0.00558479,0.0703185],"study_design_scores_gemma":[0.000006715781,0.0004460341,0.8898753,0.0004553105,0.00002421718,0.00263824,0.02767234,0.000692905,0.004530208,0.0005293355,0.07309296,0.00003643955],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618324,0.0007024748,0.001319502,0.0007873634,0.00007029282,0.0004389599,0.001343636,0.00003770888,0.03346754],"genre_scores_gemma":[0.9787493,0.001470142,0.003053179,0.000462899,0.00003149533,0.0001143908,0.001375662,0.00001440613,0.01472859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06412727,"threshold_uncertainty_score":0.127508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07058313166131808,"score_gpt":0.2403037115405618,"score_spread":0.1697205798792437,"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."}}