{"id":"W7052694809","doi":"","title":"SHORT CUTS #196 - Naughty Daughter","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Daughter","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":[],"category_scores_codex":[0.0005121456,0.0004353983,0.0002908488,0.0005634052,0.004272496,0.003364802,0.0006996095,0.002510879,0.6668763],"category_scores_gemma":[0.002523164,0.0004024163,0.0002708278,0.0003885186,0.0004056332,0.001877146,0.002658694,0.002828274,0.4690695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00169882,"about_ca_system_score_gemma":0.002678228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02597804,"about_ca_topic_score_gemma":0.1076502,"domain_scores_codex":[0.9995003,0.00004077392,0.00001323637,0.00006875617,0.000250867,0.0001261197],"domain_scores_gemma":[0.9986285,0.0001237248,0.00002412108,0.00006631434,0.0006050994,0.000552156],"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":[0.000006791307,0.000006429028,0.0000561382,0.000007894097,1.804949e-7,0.00002672393,0.00001864868,0.000002746756,0.00003705109,0.0007954573,0.9906617,0.008380215],"study_design_scores_gemma":[0.000002196567,0.000005812943,0.0002498147,0.00001381448,2.990588e-7,0.00003367672,0.0001006741,0.000005255981,0.00002663303,0.0001575098,0.9994025,0.000001804739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007214151,0.0006059669,0.0002510044,0.01948473,0.009869861,0.00008431209,0.001998153,0.0005921954,0.9663924],"genre_scores_gemma":[0.0006966334,0.00009942852,0.00004687958,0.002529338,0.0002046888,0.00001161948,0.0002572541,0.00008921746,0.996065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6668763,"threshold_uncertainty_score":0.4751605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006078840704699207,"score_gpt":0.1891929186409989,"score_spread":0.1831140779362997,"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."}}