{"id":"W3118764694","doi":"","title":"Automated detection of anomalies in sewer closed circuit television videos using proportional data modeling","year":2016,"lang":"en","type":"article","venue":"Qatar University QSpace (Qatar University)","topic":"Water Systems and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Closed circuit; Computer science; Artificial intelligence; Real-time computing; Computer vision; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000157341,0.0001809572,0.0002412499,0.0007429452,0.0001206371,0.00001424176,0.0004287667,0.0001561753,0.00003122461],"category_scores_gemma":[0.0000145948,0.0001896236,0.00005142955,0.0006191079,0.00005846629,0.001506417,0.00022644,0.0001046976,0.000008603033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005674803,"about_ca_system_score_gemma":0.00007480883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001029893,"about_ca_topic_score_gemma":0.00149425,"domain_scores_codex":[0.9989075,0.00007960549,0.0001824772,0.0003623955,0.0002156801,0.0002523599],"domain_scores_gemma":[0.9991847,0.00002858874,0.00009566113,0.0004851249,0.0001258942,0.00008004848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002292347,0.0001061406,0.007032085,0.000283121,0.0001942673,0.0002763988,0.0007434234,0.9358391,0.052193,0.0008627962,0.0005001955,0.001740209],"study_design_scores_gemma":[0.001305653,0.00003302729,0.000935999,0.0002435708,0.00006418429,0.000006570539,0.0008115832,0.9877992,0.002390041,0.000009878064,0.006081386,0.0003189542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6707711,0.00003618798,0.327318,0.00004988115,0.0001751976,0.0002492603,0.0002019478,0.0004404857,0.0007580484],"genre_scores_gemma":[0.9976078,0.0001115264,0.001417031,0.00000190634,0.0000279806,3.52658e-8,0.00008085472,0.00002178622,0.0007310878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3268368,"threshold_uncertainty_score":0.7732627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03122354547054465,"score_gpt":0.1892152607062003,"score_spread":0.1579917152356557,"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."}}