{"id":"W7054932697","doi":"","title":"ARCHIVEIT-1830-WEEKLY-AZOFMB-20120807182906-00000-crawling211.us.archive.org-6683.warc.gz","year":2012,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Work (physics); Process (computing)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002134219,0.0006778279,0.0006582045,0.0002070069,0.0001131563,0.00007077016,0.0006631869,0.0004992423,0.2950377],"category_scores_gemma":[0.00003974918,0.000699734,0.0002912049,0.0000228746,0.000195486,8.647801e-7,0.0001318025,0.0006371452,0.05617158],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007267282,"about_ca_system_score_gemma":0.00003719612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001744485,"about_ca_topic_score_gemma":0.0004348263,"domain_scores_codex":[0.9974883,0.00007292196,0.000906083,0.0002997558,0.0005032967,0.0007297004],"domain_scores_gemma":[0.9982195,0.0001648884,0.0003825168,0.0007968614,0.00007924487,0.0003569592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002410578,0.00006819385,0.000007848545,0.0008587826,0.0001533356,0.000006978317,0.0001974387,0.0006768903,0.00002262974,0.0001078669,0.9960018,0.001874152],"study_design_scores_gemma":[0.0005217788,0.0000562641,0.0000511394,0.0002839846,0.0001162808,0.0000556329,0.00004637005,0.0002233808,0.00007978758,0.00003931404,0.9977958,0.000730284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005460733,0.0005643864,0.00005695724,0.00009716029,0.0005347008,0.0007871093,0.0007953024,0.001038448,0.9960713],"genre_scores_gemma":[0.001762391,0.0008349234,0.003178361,0.0001984042,0.000674498,0.0001052807,0.0009445223,0.000416219,0.9918854],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2388661,"threshold_uncertainty_score":0.9995454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006326796549838808,"score_gpt":0.1753071069950597,"score_spread":0.1689803104452209,"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."}}