{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007698917,0.0005791456,0.0004176379,0.004636293,0.0005106851,0.002208377,0.0007660975,0.001099588,0.004790202],"category_scores_gemma":[0.001074743,0.0002836028,0.0003267257,0.005355411,0.001015939,0.00177774,0.0008887834,0.0005203509,0.001327896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000876205,"about_ca_system_score_gemma":0.001400146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005238615,"about_ca_topic_score_gemma":0.01334505,"domain_scores_codex":[0.9989462,0.0002224419,0.00008450685,0.0001827518,0.0004466803,0.0001173511],"domain_scores_gemma":[0.9992039,0.000309866,0.0001489866,0.00005819739,0.0002058736,0.00007330813],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001882358,0.0001578204,0.008015463,0.002129758,0.00004759406,0.0002546782,0.0005941445,0.001647798,0.00230669,0.01473207,0.02685204,0.9430737],"study_design_scores_gemma":[0.00002860325,0.0006858839,0.07806233,0.001164054,0.0001391482,0.003176655,0.002200158,0.002844369,0.002676809,0.01819899,0.8907506,0.00007232101],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01892152,0.9131997,0.0158332,0.002088204,0.0006104732,0.00006962351,0.0003290787,0.0003359974,0.0486122],"genre_scores_gemma":[0.2471397,0.6892213,0.02428086,0.001849606,0.002331027,0.0001393977,0.001350834,0.0000939786,0.03359326],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005238615,"threshold_uncertainty_score":0.01602489,"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."}}