{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0001171331,0.001406053,0.001231912,0.0007795147,0.00004505259,0.0002080255,0.001985746,0.0003480799,0.01559058],"category_scores_gemma":[0.00001932656,0.001328483,0.0006550525,0.0002251955,0.0003651374,0.0001054842,0.0006079898,0.001545718,0.02537401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001032753,"about_ca_system_score_gemma":0.00009028421,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02334937,"about_ca_topic_score_gemma":0.0420032,"domain_scores_codex":[0.9959004,0.0001947068,0.000893304,0.001278305,0.0005512783,0.001182007],"domain_scores_gemma":[0.9972818,0.00022735,0.0003502233,0.001626646,0.00002766952,0.000486344],"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":[0.00006937182,0.0001395078,0.001004432,0.0002904802,0.0008841555,0.00006249594,0.002699611,0.0004508552,0.0002141792,0.000898816,0.9924842,0.0008018949],"study_design_scores_gemma":[0.001072707,0.000155344,0.001680461,0.0007951157,0.000164163,0.00006491746,0.00007124202,0.01608955,0.0001696253,0.0005412913,0.9777077,0.001487885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001789759,0.0008126443,0.03270233,0.0001482525,0.001294408,0.001734289,0.008113974,0.001666937,0.9517374],"genre_scores_gemma":[0.02316682,0.0003802172,0.001467142,0.0002536121,0.0007893166,0.0002495926,0.003748946,0.001681202,0.9682631],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03123519,"threshold_uncertainty_score":0.999869,"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."}}