{"id":"W7054582832","doi":"","title":"ARCHIVEIT-3490-DAILY-NDYCRB-20130206065112-00000-wbgrp-crawl058.us.archive.org-6680.warc.gz","year":2013,"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":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0001536982,0.0007320404,0.0006980168,0.0002099871,0.0001130858,0.0001155195,0.000782858,0.0005243157,0.3782526],"category_scores_gemma":[0.00003995042,0.0007369326,0.0002957275,0.00002390921,0.0002391718,9.35684e-7,0.0001448753,0.0006580857,0.09266266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007869007,"about_ca_system_score_gemma":0.00004660439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003703625,"about_ca_topic_score_gemma":0.0005384272,"domain_scores_codex":[0.9973667,0.00007685892,0.0009788454,0.0003650204,0.0005418642,0.0006707017],"domain_scores_gemma":[0.9981228,0.0001653155,0.0003982869,0.000878006,0.00009653116,0.000339074],"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":[0.00001801443,0.0000508781,0.000005606267,0.0007856742,0.0001566519,0.00001000293,0.0001520513,0.0009801023,0.00001984161,0.000133972,0.9957883,0.001898904],"study_design_scores_gemma":[0.000583422,0.00007545206,0.00005143975,0.0002972094,0.00008756427,0.00005200611,0.00005585445,0.0005933892,0.00008090722,0.00004833,0.9973096,0.0007647808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009516683,0.0003380341,0.00004940541,0.0001146817,0.0004038903,0.001056202,0.0008059865,0.001081383,0.9960552],"genre_scores_gemma":[0.0007868333,0.0009427428,0.003155023,0.0002582321,0.0004300067,0.0001832895,0.000974931,0.0004007175,0.9928682],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2855899,"threshold_uncertainty_score":0.9995081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004952326596022364,"score_gpt":0.1663157946417351,"score_spread":0.1613634680457127,"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."}}