{"id":"W6926553087","doi":"10.25318/3410007601-eng","title":"Information system(s) usage for management of publicly owned road assets, Infrastructure Canada, inactive","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Infections and bacterial resistance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information system; Government (linguistics); Information management; Work (physics); Information technology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001180947,0.0002250257,0.0002386011,0.000067266,0.00009708069,0.00004860457,0.0002058053,0.0001836326,0.0000172701],"category_scores_gemma":[0.0001419175,0.0002280773,0.00002853664,0.0001102727,0.00002013471,0.00001378586,0.00005712503,0.00009033955,4.707619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006466717,"about_ca_system_score_gemma":0.001507081,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7219697,"about_ca_topic_score_gemma":0.9678478,"domain_scores_codex":[0.9987847,0.00003199437,0.0004091789,0.0001972273,0.0003623884,0.0002144763],"domain_scores_gemma":[0.9984083,0.00003290716,0.000575165,0.0003671418,0.0005571631,0.00005928746],"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":[0.00006912605,0.000007823766,0.00001204907,0.001669109,0.0001304904,0.000002052389,0.000003017402,0.00004753466,0.000277665,0.0003371164,0.9950109,0.00243314],"study_design_scores_gemma":[0.0002912038,0.00008934,0.01259026,0.0001718545,0.000125609,0.000003106109,0.000305739,0.00003762545,0.001664403,0.000006312071,0.9844223,0.0002922202],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001560948,0.00002439263,0.006816765,0.00001324826,0.001112257,0.0006559149,0.9897085,0.00000233009,0.0001056257],"genre_scores_gemma":[0.03529681,0.00004471716,0.0005274383,0.00003074053,0.00007086149,0.00008981947,0.9636872,0.00001282722,0.0002395683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2458781,"threshold_uncertainty_score":0.9300724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002677876352334945,"score_gpt":0.2253520956708599,"score_spread":0.222674219318525,"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."}}