{"id":"W7054693310","doi":"","title":"2019 AUG 01 Trump Gaggle; North Korea, China, Mexico, Comey, Cashmere & Southern Border","year":2019,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Laser Design and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Position (finance); White (mutation); Quarter (Canadian coin); Administration (probate law); National security","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":[],"consensus_categories":[],"category_scores_codex":[0.001236886,0.001333091,0.0005054949,0.0005876202,0.009685957,0.006444581,0.001445022,0.0192882,0.145427],"category_scores_gemma":[0.003521095,0.0007295078,0.0008758352,0.0005095333,0.001407391,0.003181453,0.003328761,0.0133521,0.0697998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003455878,"about_ca_system_score_gemma":0.005155378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04955135,"about_ca_topic_score_gemma":0.1275574,"domain_scores_codex":[0.99867,0.0001084394,0.00005321293,0.0002429142,0.0004062957,0.0005191362],"domain_scores_gemma":[0.9986979,0.000120726,0.00009660739,0.00008650833,0.0005814992,0.0004168271],"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":[0.0000211656,0.00002774535,0.0002351155,0.00002561306,0.000001378673,0.0001538627,0.00008343397,0.0000124009,0.0001686446,0.001492809,0.9945198,0.003257971],"study_design_scores_gemma":[0.000009044028,0.00003554362,0.001289375,0.00005607717,0.000001534493,0.00004233767,0.0004007796,0.00001660755,0.00009311147,0.0003366121,0.9977018,0.0000171565],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004364927,0.003217874,0.000613711,0.3188824,0.09011546,0.001077994,0.00240295,0.001090291,0.5782344],"genre_scores_gemma":[0.005891167,0.0007477571,0.0002399261,0.1095305,0.005994321,0.0003256649,0.0004038399,0.0001757472,0.876691],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.145427,"threshold_uncertainty_score":0.4865017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007715318094765164,"score_gpt":0.218106299069125,"score_spread":0.2103909809743599,"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."}}