{"id":"W6986907185","doi":"","title":"Road Maintenance with Opti-Grade®: Maintaining Road Networks to Achieve the Best Value","year":2003,"lang":"en","type":"article","venue":"USC Research Bank (University of the Sunshine Coast)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pavement management; Information system; Grading (engineering); Quality (philosophy); Geographic information system; Profitability index; Budget constraint; Software","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":[0.001466317,0.0009248212,0.0007351149,0.00221308,0.0009927242,0.003123255,0.002303604,0.0006373148,0.02059834],"category_scores_gemma":[0.003972404,0.000632619,0.0005295047,0.001712628,0.0004838274,0.003035572,0.001557619,0.0007284328,0.006605946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001808273,"about_ca_system_score_gemma":0.002318832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0315722,"about_ca_topic_score_gemma":0.06470228,"domain_scores_codex":[0.9989151,0.00005310466,0.00005214894,0.0001509671,0.0007315829,0.00009707406],"domain_scores_gemma":[0.9977957,0.0002784554,0.0001849243,0.0005059749,0.001061005,0.0001738716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000671655,0.0001953555,0.01037501,0.0007575809,0.00007851206,0.0001380159,0.0005509826,0.009905187,0.0298324,0.006820004,0.1445517,0.7961237],"study_design_scores_gemma":[0.0003203094,0.0004496262,0.02861066,0.0003160605,0.0002692871,0.0009256116,0.0006880985,0.1781179,0.1211931,0.01219877,0.6564982,0.0004123356],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07231787,0.001428186,0.6382431,0.001210118,0.0004954732,0.001102105,0.01431525,0.1916051,0.07928286],"genre_scores_gemma":[0.2982501,0.001494074,0.6034068,0.0004385707,0.0001171831,0.0005170564,0.01744442,0.01354488,0.06478684],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0315722,"threshold_uncertainty_score":0.06890827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02060431003565321,"score_gpt":0.2792166227072984,"score_spread":0.2586123126716452,"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."}}