{"id":"W2758095031","doi":"10.5151/1982-9345-26678","title":"DETECTION OF WATER LEAKS USING EFSOP WATER DETECTION TECHONOLOGY®","year":2017,"lang":"pt","type":"article","venue":"","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Golder Associates (Canada)","funders":"","keywords":"Water vapor; Steelmaking; Process engineering; Environmental science; Computer science; Waste management; Chemistry; Materials science; Engineering; Metallurgy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007274405,0.0005012447,0.0003739852,0.001651391,0.0002359972,0.0005087216,0.0005643218,0.0007278905,0.004505381],"category_scores_gemma":[0.001597876,0.0003078361,0.0002840593,0.0007893521,0.0003229232,0.0007107384,0.000396856,0.0003427346,0.001098601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709926,"about_ca_system_score_gemma":0.0002478697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007501982,"about_ca_topic_score_gemma":0.001969112,"domain_scores_codex":[0.9989422,0.00009558871,0.00004715285,0.0001829248,0.0006724303,0.00005968557],"domain_scores_gemma":[0.9990391,0.0003658681,0.0001722348,0.00008513882,0.0003097407,0.00002801648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004089673,0.0001240325,0.01311692,0.0003942881,0.00003345301,0.0002551053,0.0001815846,0.002305175,0.7281157,0.0005773414,0.003298262,0.2511892],"study_design_scores_gemma":[0.00004207113,0.000732813,0.03059206,0.00004777524,0.0000530931,0.0009455453,0.000127584,0.03470134,0.9167842,0.000691479,0.01520147,0.00008057764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.440856,0.001534551,0.5251608,0.0003318855,0.0001586834,0.000388063,0.002360393,0.01424966,0.0149599],"genre_scores_gemma":[0.744455,0.0008731697,0.2390144,0.0002711992,0.00002869551,0.0001792372,0.001108695,0.0004690859,0.01360059],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004505381,"threshold_uncertainty_score":0.01507193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02979883890828908,"score_gpt":0.2658551004288017,"score_spread":0.2360562615205127,"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."}}