{"id":"W6964826574","doi":"10.26077/q6nr-hp41","title":"Errata: Water Main Break Rates in the USA and Canada: A Comprehensive Study","year":2024,"lang":"en","type":"article","venue":"Digital Commons - USU (Utah State University)","topic":"Sensory Analysis and Statistical Methods","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Section (typography); Home page; Front page; Title page; Page view","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":[0.008494013,0.001032956,0.001277553,0.008370323,0.002866253,0.002767805,0.003127549,0.001762173,0.04274174],"category_scores_gemma":[0.1076044,0.0009202207,0.002822832,0.01557937,0.001345852,0.001873479,0.001899678,0.003071758,0.01415871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01824999,"about_ca_system_score_gemma":0.04234166,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8543046,"about_ca_topic_score_gemma":0.8295189,"domain_scores_codex":[0.9830618,0.001021193,0.003902399,0.001066663,0.009798924,0.001148989],"domain_scores_gemma":[0.7831469,0.02492714,0.009610454,0.004569654,0.1754103,0.002335394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003545931,0.00001200564,0.004342421,0.0005433162,0.00002127359,0.00003215293,0.00009889452,0.00005667062,0.00001912941,0.0002187926,0.985135,0.009484788],"study_design_scores_gemma":[0.0001235298,0.00005967977,0.1611035,0.003726018,0.0002790077,0.0001791412,0.002370557,0.0003793383,0.0005395061,0.00065108,0.8304307,0.0001579771],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0147859,0.01251728,0.004487737,0.09832852,0.2482027,0.001592895,0.5686785,0.003545061,0.0478614],"genre_scores_gemma":[0.1985424,0.02250681,0.02008215,0.1140281,0.02055432,0.00465457,0.3258873,0.006265865,0.2874785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1456954,"threshold_uncertainty_score":0.2931069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03774391899771706,"score_gpt":0.244399268725859,"score_spread":0.206655349728142,"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."}}