{"id":"W7054853535","doi":"","title":"ARCHIVEIT-3490-TWELVE_HOURS-QSLLJI-20130209050608-00000-wbgrp-crawl105.us.archive.org-6681.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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009920723,0.0015607,0.001155336,0.005448223,0.002205952,0.005609393,0.002147343,0.001345247,0.9087462],"category_scores_gemma":[0.004711151,0.001210727,0.0009250856,0.007747409,0.0007457798,0.002825814,0.003015738,0.001267049,0.9437506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003095287,"about_ca_system_score_gemma":0.00214689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04781982,"about_ca_topic_score_gemma":0.0539848,"domain_scores_codex":[0.9993088,0.00004916234,0.00003553927,0.00009934496,0.0003936494,0.0001136249],"domain_scores_gemma":[0.9959752,0.0003889461,0.0001192882,0.0009775866,0.001981005,0.0005578988],"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":[0.00002218078,0.0000128942,0.00009746059,0.0000738335,0.000002106691,0.000007840126,0.00003151254,0.00003755151,0.0001565152,0.0004328387,0.973367,0.02575829],"study_design_scores_gemma":[0.00001150269,0.000004624252,0.0004872037,0.0000339807,0.000001763944,0.00001399684,0.00002573299,0.00004785594,0.0004052692,0.000235295,0.9987238,0.000009026567],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003777465,0.0002048197,0.002665313,0.0004144646,0.0003915486,0.0001719443,0.1700987,0.05283444,0.772841],"genre_scores_gemma":[0.001598825,0.0003016675,0.002054309,0.0002446174,0.0001025506,0.0001262417,0.08457503,0.02797466,0.8830221],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09125382,"threshold_uncertainty_score":0.1301625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005155105601527022,"score_gpt":0.1699133306411243,"score_spread":0.1647582250395973,"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."}}