{"id":"W2037327243","doi":"10.3141/2306-15","title":"Precision of Florida Methods for Automated and Manual Faulting Measurements","year":2012,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"College of Family Physicians of Canada","keywords":"Repeatability; Metre; Fault (geology); Accuracy and precision; Reproducibility; Ranging; Remote sensing; Environmental science; Geology; Geodesy; Seismology; Statistics; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006908016,0.0001758715,0.0003603082,0.0005803161,0.0002700224,0.0000429604,0.000407873,0.0001425902,0.00002630434],"category_scores_gemma":[0.0002685705,0.0001312777,0.0001943017,0.0007428168,0.0001996666,0.000580086,0.000004729482,0.0009017364,0.000001153434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430703,"about_ca_system_score_gemma":0.0001000883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004245458,"about_ca_topic_score_gemma":0.0005485761,"domain_scores_codex":[0.9961392,0.0004804688,0.001009841,0.0001614396,0.001466027,0.0007430123],"domain_scores_gemma":[0.99634,0.0008940079,0.0002135026,0.0002194322,0.002087719,0.0002453873],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001897042,0.000156104,0.4992975,0.002080101,0.0005954423,0.000008002369,0.01222493,0.01583256,0.2690865,0.0009784753,0.005149156,0.1926941],"study_design_scores_gemma":[0.001490276,0.0003155113,0.9085087,0.00053872,0.00006924501,7.517656e-7,0.001737066,0.003737591,0.07614653,0.0009047331,0.006361813,0.0001890409],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9655948,0.0006924121,0.0313829,0.0001132623,0.001248307,0.0008033314,0.00002826684,0.00005445832,0.00008230865],"genre_scores_gemma":[0.9392206,0.0003939902,0.0599572,0.000004423202,0.0002686636,0.0000515678,0.000006409632,0.00004684525,0.0000502823],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4092112,"threshold_uncertainty_score":0.5353349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1119896859324323,"score_gpt":0.4483045891393663,"score_spread":0.336314903206934,"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."}}