{"id":"W1988218985","doi":"10.1145/1029496.1029501","title":"Remote repair, diagnostics, and maintenance","year":2004,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"German; Computer science; History; Archaeology","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":[0.000043849,0.00003727738,0.00004667266,0.00001227603,0.00007589544,0.000004268564,0.002405173,0.00001719137,8.405553e-7],"category_scores_gemma":[0.0032384,0.00002972434,0.00001858457,0.00008581411,0.00008063565,0.00004662832,0.001761364,0.00007543543,0.000001132301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001490321,"about_ca_system_score_gemma":0.000006528835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001385984,"about_ca_topic_score_gemma":0.00002285998,"domain_scores_codex":[0.9997919,0.000006504928,0.00008614312,0.00003838842,0.00002856865,0.00004850383],"domain_scores_gemma":[0.9939607,0.00008869206,0.0000256284,0.005880603,0.00003277076,0.00001158691],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005363735,0.00004949251,0.001369124,0.0001601807,0.00005108476,2.56273e-7,0.001233049,0.9279474,0.0004639234,0.04627751,0.008027007,0.0144156],"study_design_scores_gemma":[0.0008979926,0.00003548431,0.0133721,0.0006253156,0.00006952089,0.00001629324,0.0002328901,0.1220085,0.003274343,0.8179179,0.04122327,0.0003263614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1561368,0.1372346,0.4719825,0.1545894,0.001560843,0.002011679,0.000107069,0.003504951,0.07287212],"genre_scores_gemma":[0.5183359,0.0100115,0.4715585,0.0000453063,0.000004744107,0.000002117827,0.000002369633,0.000008714736,0.0000308828],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8059389,"threshold_uncertainty_score":0.446945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01527737999744391,"score_gpt":0.2507542770513287,"score_spread":0.2354768970538848,"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."}}