{"id":"W2359050735","doi":"","title":"Detection of Micro Debris Based on Spatial Micro Solenoid Inductance","year":2012,"lang":"en","type":"article","venue":"Machine Tool & Hydraulics","topic":"Lubricants and Their Additives","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Inductance; Debris; Solenoid; Flux (metallurgy); Materials science; Environmental science; Physics; Electrical engineering; Metallurgy; Engineering; Meteorology; Voltage","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":[0.0001293968,0.0002029437,0.0002149748,0.0000983559,0.0000526212,0.00001492011,0.0001272504,0.00008507266,0.00009747742],"category_scores_gemma":[0.0000364564,0.0001864424,0.00008231384,0.0001558081,0.00003849879,0.000124152,0.00002344871,0.0002251622,0.0000493322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000658197,"about_ca_system_score_gemma":0.00001085141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001261016,"about_ca_topic_score_gemma":0.00006682726,"domain_scores_codex":[0.9991183,0.00003205806,0.00023094,0.0001399711,0.000154164,0.000324569],"domain_scores_gemma":[0.9995117,0.00006345387,0.00006032233,0.0002623846,0.00002583902,0.0000763294],"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":[0.0001038711,0.00032764,0.005018732,0.0001507114,0.0000953446,0.000005164232,0.0005420939,0.00798544,0.8432209,0.00006785152,0.0006441668,0.1418381],"study_design_scores_gemma":[0.0007012388,0.0001330388,0.03890311,0.00005130127,0.00003710218,0.000009723785,0.00001539454,0.05975313,0.8850626,0.00008137016,0.01483077,0.0004212529],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9455948,0.0005928198,0.0407071,0.00005982023,0.0007692613,0.000218558,0.0001387597,0.0002345919,0.01168424],"genre_scores_gemma":[0.9983453,0.00002570952,0.001018505,0.0001566201,0.000323476,0.00001195657,0.0000255234,0.00005136372,0.00004161026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1414168,"threshold_uncertainty_score":0.7602903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006525765603152095,"score_gpt":0.2005965875373054,"score_spread":0.1940708219341533,"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."}}