{"id":"W7047839943","doi":"","title":"Identification of the Most Important Factors Driving Watermain Failure","year":2022,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Categorical variable; Identification (biology); Boosting (machine learning); Dimensionality reduction; Feature (linguistics); Random forest; Curse of dimensionality","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":[0.0006071332,0.000535657,0.0003965576,0.001655239,0.001166325,0.001480276,0.0004697031,0.0003391341,0.001012064],"category_scores_gemma":[0.003951503,0.0002179572,0.0006288454,0.002458422,0.0005395938,0.0004887969,0.0007115154,0.0006138436,0.0002169547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004487765,"about_ca_system_score_gemma":0.008754565,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9039853,"about_ca_topic_score_gemma":0.9354975,"domain_scores_codex":[0.9993799,0.0000665571,0.00003505925,0.0001173767,0.0002110496,0.0001900175],"domain_scores_gemma":[0.9981847,0.0003653531,0.0002428413,0.0000958929,0.0009340185,0.0001771934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002990116,0.0000278019,0.9823008,0.00003015229,0.00005304509,0.0001238411,0.0005213119,0.002888296,0.0005803167,0.0002627474,0.001554909,0.01162687],"study_design_scores_gemma":[0.000002548639,0.00001212425,0.9822328,0.00002001648,0.00003062237,0.00004051849,0.002162718,0.01345486,0.0003086086,0.0001699418,0.001549445,0.00001583869],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939268,0.0001734932,0.001973663,0.0002139003,0.000009488198,0.0000578021,0.002243479,0.00004601754,0.001355364],"genre_scores_gemma":[0.9957001,0.0001327302,0.001330214,0.00001563262,0.000003261761,0.00002045729,0.002182682,0.000008844691,0.0006061133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9039853,"threshold_uncertainty_score":0.1931604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002534165563219,"score_gpt":0.2397403465956636,"score_spread":0.2297150049400314,"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."}}