{"id":"W2368870321","doi":"","title":"Exploration of Large Instruments Utilization and Management Efficiency","year":2010,"lang":"en","type":"article","venue":"","topic":"Optical Systems and Laser Technology","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Risk analysis (engineering); Computer science; Operations management; Process management; Reliability engineering; Systems engineering; Business; Engineering","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":[0.002050511,0.0003818139,0.0003356753,0.001830955,0.0005347296,0.001478056,0.001012371,0.0004957308,0.001915855],"category_scores_gemma":[0.007830001,0.0002263247,0.0002780196,0.001557017,0.0006103899,0.002923232,0.0008055311,0.000387509,0.000293197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007933,"about_ca_system_score_gemma":0.0005504812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001336142,"about_ca_topic_score_gemma":0.0008621677,"domain_scores_codex":[0.9974496,0.0006443793,0.0001188945,0.0003686481,0.001105499,0.0003129798],"domain_scores_gemma":[0.9956337,0.001923916,0.0007444583,0.0005585352,0.0009284392,0.0002111279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0007485479,0.0005179361,0.1045253,0.0007597791,0.0001185419,0.0009597101,0.006451326,0.02719351,0.06093694,0.03562836,0.003400604,0.7587594],"study_design_scores_gemma":[0.00007733855,0.003016342,0.3961846,0.00049045,0.0005094917,0.004976737,0.01385801,0.2892668,0.1843904,0.03726547,0.06958369,0.0003806668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880888,0.001962157,0.08593035,0.0003307198,0.00002079137,0.00009599597,0.000103942,0.0004695104,0.02299776],"genre_scores_gemma":[0.984323,0.0004136912,0.01347501,0.00001716592,0.00001091026,0.00002111958,0.00004912177,0.00005276615,0.001637087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002050511,"threshold_uncertainty_score":0.01084423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01374972993310932,"score_gpt":0.2305443499295383,"score_spread":0.216794619996429,"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."}}