{"id":"W598961158","doi":"","title":"Evaluation of Automated Distress Collection Techniques: An Ontario Case Study","year":2006,"lang":"en","type":"article","venue":"10TH INTERNATIONAL CONFERENCE ON ASPHALT PAVEMENTS - AUGUST 12 TO 17, 2006, QUEBEC CITY, CANADA","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Automation; Data collection; Identification (biology); Plan (archaeology); Transport engineering; Work (physics); Computer science; Christian ministry; Engineering; Engineering management; Operations management; Data science; Operations research; Geography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004459186,0.0003118898,0.0002595376,0.0002573854,0.0001305459,0.0001078327,0.000321707,0.00008789595,0.001230761],"category_scores_gemma":[0.00002950249,0.0003323499,0.00004075701,0.0002042557,0.00002440235,0.000262817,0.00005508138,0.0002310128,0.000002113506],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003973017,"about_ca_system_score_gemma":0.001079274,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922706,"about_ca_topic_score_gemma":0.9995396,"domain_scores_codex":[0.9971201,0.00008662873,0.0005950357,0.0003693041,0.001486498,0.0003424337],"domain_scores_gemma":[0.9984675,0.00001902211,0.0001637612,0.0003101243,0.0009029683,0.00013662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0003547003,0.002701527,0.215207,0.0001845767,0.001885099,0.002121299,0.004493976,0.3853564,0.009363499,0.002715825,0.2800361,0.09558006],"study_design_scores_gemma":[0.008288836,0.001781961,0.5241943,0.000971736,0.0007805319,0.0003755637,0.009997875,0.3654856,0.06111313,0.000970997,0.02257364,0.003465811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779137,0.000004624666,0.0008706978,0.00004598506,0.001693126,0.001046957,0.0001893138,0.000272451,0.01796316],"genre_scores_gemma":[0.9952746,9.743703e-7,0.0003597348,0.00007751231,0.0001617658,0.0001925799,0.000188507,0.00003298098,0.003711362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3089873,"threshold_uncertainty_score":0.9999129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279057522111862,"score_gpt":0.2939487419140445,"score_spread":0.2611581666929259,"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."}}