{"id":"W2972514202","doi":"10.2351/1.5118534","title":"Laser decommissioning and practical laser training","year":2019,"lang":"en","type":"article","venue":"International Laser Safety Conference","topic":"Ocular and Laser Science Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Laser; Nuclear decommissioning; Laser safety; Polarizer; Session (web analytics); Computer science; Optics; Engineering; Physics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004882438,0.0001387651,0.0002129116,0.0001243145,0.00008401692,0.0001113881,0.0001506925,0.00008430038,0.004377644],"category_scores_gemma":[0.0003756666,0.0001134291,0.00006577066,0.0001294464,0.00009952854,0.0003723983,0.0001671299,0.00036722,0.0004250049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006012251,"about_ca_system_score_gemma":0.0003894504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003651074,"about_ca_topic_score_gemma":0.00002877849,"domain_scores_codex":[0.9983461,0.00005568601,0.0002439471,0.0003848974,0.0006689774,0.000300352],"domain_scores_gemma":[0.998878,0.0002566079,0.00005834174,0.0002353101,0.0002773932,0.0002943632],"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":[0.004716786,0.001622457,0.4097522,0.0003600965,0.00118037,0.002673022,0.006661264,0.0003729565,0.03803987,0.0621205,0.008200027,0.4643005],"study_design_scores_gemma":[0.01039844,0.001023101,0.3225395,0.001344971,0.0001306612,0.001962586,0.003822732,0.1812028,0.04085067,0.00253235,0.4330269,0.001165291],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8533723,0.00002546059,0.003786969,0.01960143,0.0004954822,0.0003309972,0.00001990263,0.00006926327,0.1222982],"genre_scores_gemma":[0.9842684,0.00006047979,0.00328592,0.0008333334,0.0001096777,0.000007615829,0.00003736306,0.00001320236,0.01138398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4631352,"threshold_uncertainty_score":0.9965325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0578328804553082,"score_gpt":0.3721587828780045,"score_spread":0.3143259024226963,"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."}}