{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00822509,0.0008580344,0.0004970856,0.002173166,0.005587352,0.002018629,0.002548976,0.001674866,0.002021699],"category_scores_gemma":[0.01814479,0.0005121076,0.0004808691,0.003967206,0.002005001,0.001139186,0.001617016,0.0007589549,0.0004415723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0321341,"about_ca_system_score_gemma":0.01471937,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6896523,"about_ca_topic_score_gemma":0.8709098,"domain_scores_codex":[0.9885209,0.003710557,0.0006462635,0.0007822807,0.005114343,0.001225712],"domain_scores_gemma":[0.9777534,0.007270471,0.001662751,0.001997389,0.01023975,0.001076124],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003474619,0.008333847,0.2519066,0.003176972,0.0002668534,0.0241671,0.135065,0.03431941,0.03600441,0.005868992,0.02202932,0.4753869],"study_design_scores_gemma":[0.0008879629,0.01099216,0.5164756,0.0008394893,0.0004751491,0.005476743,0.1925546,0.08114579,0.03299946,0.001775035,0.1558075,0.0005704976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739905,0.0004295877,0.008355639,0.001005657,0.00003139682,0.002065714,0.0006021815,0.0001376209,0.01338179],"genre_scores_gemma":[0.9634755,0.001010423,0.02442434,0.000190763,0.00002866229,0.000657543,0.0005533003,0.00005856069,0.009600908],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3103477,"threshold_uncertainty_score":0.6243507,"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."}}