{"id":"W7054842107","doi":"","title":"ARCHIVEIT-2901-ANNUAL-MZRNCB-20120419112332-00005-crawling109.us.archive.org-6682.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); Process (computing); Product (mathematics); Work (physics)","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":[0.0002261556,0.0006700637,0.0006516937,0.0002000667,0.000110008,0.00006088877,0.0006571437,0.0004873005,0.3040287],"category_scores_gemma":[0.00004428211,0.000687383,0.0002848664,0.00002212651,0.0001980495,9.519915e-7,0.0001361359,0.0006376907,0.0588471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007016538,"about_ca_system_score_gemma":0.00003758266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521393,"about_ca_topic_score_gemma":0.0004901848,"domain_scores_codex":[0.9974971,0.00007596324,0.0008995357,0.0002931345,0.0005001485,0.0007340737],"domain_scores_gemma":[0.9982053,0.0001873559,0.0003842187,0.0007776009,0.00009000945,0.0003555353],"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":[0.00002365755,0.0000631576,0.00000909248,0.0006734557,0.0001556677,0.000007037612,0.0003144017,0.0009626154,0.000008913367,0.0001198424,0.9960172,0.001644943],"study_design_scores_gemma":[0.0004913352,0.00005003993,0.00004267013,0.0002782513,0.0001192663,0.00004986001,0.00006767731,0.0001533802,0.0000699736,0.0000303569,0.9979267,0.0007204682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004992808,0.0006391766,0.0000397159,0.00008303548,0.0005811774,0.0007561682,0.001440185,0.0009938868,0.9954167],"genre_scores_gemma":[0.001342379,0.0007852439,0.003316098,0.0002020124,0.0006814554,0.0001047939,0.00093134,0.000404054,0.9922326],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2451816,"threshold_uncertainty_score":0.9995577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00526515356974832,"score_gpt":0.1742585889934084,"score_spread":0.16899343542366,"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."}}