{"id":"W1982434226","doi":"10.1139/l01-045","title":"Adequate data collection frequency and gauging length for surface condition rating in Alberta","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Serviceability (structure); Data collection; Transport engineering; Engineering; Civil engineering; Forensic engineering; Statistics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004436159,0.0002358224,0.0002677487,0.001794668,0.001634727,0.0009865124,0.001042365,0.000345768,0.002049377],"category_scores_gemma":[0.01001617,0.0002415962,0.0001271424,0.003163501,0.0006782506,0.0003865847,0.0008320922,0.000319245,0.0003115777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01667383,"about_ca_system_score_gemma":0.03378111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9298008,"about_ca_topic_score_gemma":0.9669008,"domain_scores_codex":[0.9952674,0.0007917406,0.000297704,0.0004660857,0.002681266,0.0004958879],"domain_scores_gemma":[0.99133,0.001236499,0.00054864,0.0003286287,0.005873536,0.0006825312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001261182,0.0004890094,0.5374369,0.000584453,0.00005211898,0.0006999217,0.004513874,0.00572717,0.01436356,0.002032038,0.0116992,0.4211406],"study_design_scores_gemma":[0.00004786191,0.000187938,0.9829417,0.00009027129,0.00002944413,0.00007302455,0.002212365,0.002366893,0.002656401,0.000253753,0.009103463,0.00003688024],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9437084,0.001224327,0.01361865,0.001352175,0.00007024637,0.002265014,0.005938881,0.0005224486,0.03129984],"genre_scores_gemma":[0.9557003,0.00081738,0.02909338,0.0002456182,0.00002074164,0.000803565,0.003374001,0.00004583038,0.009899108],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07019919,"threshold_uncertainty_score":0.1412252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088615215366946,"score_gpt":0.2081193205025376,"score_spread":0.1972331683488681,"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."}}