{"id":"W2074352719","doi":"10.1108/02602280810849992","title":"Laser sensors maximize gains and minimize losses","year":2008,"lang":"en","type":"article","venue":"Sensor Review","topic":"Surface Roughness and Optical Measurements","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Forming Technologies (Canada); University of Windsor","funders":"","keywords":"Synchronization (alternating current); Ethernet; Reliability (semiconductor); Laser; Volume (thermodynamics); Computer science; Real-time computing; Engineering; Electronic engineering; Automotive engineering; Embedded system; Computer hardware; Telecommunications","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":[0.0001036487,0.0001764589,0.0003679315,0.00002113892,0.00005499294,0.00001025669,0.00006129548,0.00004618369,0.0002590998],"category_scores_gemma":[0.0001029942,0.0001466448,0.00007208371,0.0001300502,0.00005082874,0.00006393238,0.00001654597,0.0001055749,0.0002417001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001896861,"about_ca_system_score_gemma":0.000006311734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003304601,"about_ca_topic_score_gemma":9.574928e-7,"domain_scores_codex":[0.9991401,0.00003792957,0.0002377606,0.0001677488,0.000176093,0.0002403398],"domain_scores_gemma":[0.9995368,0.00006243461,0.0000212303,0.0002167806,0.00004045448,0.0001223581],"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":[0.0001210015,0.0008179702,0.05120198,0.08429745,0.002068132,0.003761998,0.001427774,0.009932324,0.008042495,0.0007662565,0.1711705,0.6663921],"study_design_scores_gemma":[0.003103513,0.0001129936,0.02892702,0.01279832,0.0005893522,0.000920051,0.0001327186,0.01027864,0.009591045,0.0001109807,0.9308211,0.002614242],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7161617,0.2692459,0.0001782205,0.0004605861,0.0003938074,0.0006130159,0.00001849789,0.0004119479,0.01251637],"genre_scores_gemma":[0.2947652,0.6928477,0.0103935,0.0009414758,0.0001218106,0.00003141589,0.000007068458,0.00009071971,0.0008010606],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7596506,"threshold_uncertainty_score":0.5980001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05466323605520015,"score_gpt":0.2564097994171821,"score_spread":0.201746563361982,"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."}}