{"id":"W7046226441","doi":"","title":"Dec 3: Lorrie Goldstein. Done Explaining to Jew Haters","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Superconducting and THz Device Technology","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Column (typography); George (robot)","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":[0.0003394587,0.000807696,0.0004095427,0.0007845067,0.003485964,0.00272658,0.0006404693,0.001853079,0.7919275],"category_scores_gemma":[0.001761934,0.0004265623,0.0002707488,0.0007371285,0.0004905344,0.001357134,0.001278462,0.002538385,0.6733872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001810014,"about_ca_system_score_gemma":0.002516724,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09124871,"about_ca_topic_score_gemma":0.3286887,"domain_scores_codex":[0.9997274,0.00001998732,0.000006806694,0.00002871104,0.0001495232,0.00006745823],"domain_scores_gemma":[0.9988461,0.00006456357,0.00003337754,0.00003341445,0.0005869681,0.0004356248],"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":[0.000003473434,0.000002195783,0.000018701,0.00000630501,1.358266e-7,0.00001158331,0.00001352087,0.000002883001,0.00001966782,0.0000706192,0.9972372,0.002613683],"study_design_scores_gemma":[0.000002418893,0.000002560485,0.0001964895,0.0000194311,4.563476e-7,0.00001159574,0.00009521584,0.000009222973,0.00002891103,0.00003877082,0.9995928,0.000002036578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003660768,0.002157553,0.0002343872,0.01673162,0.008835628,0.0001006344,0.002025121,0.001608129,0.9679409],"genre_scores_gemma":[0.0005288611,0.0002983875,0.00004341639,0.001025698,0.000191659,0.000006697284,0.0001943236,0.000150763,0.9975601],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7919275,"threshold_uncertainty_score":0.2967901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00838600509630262,"score_gpt":0.2005610069117076,"score_spread":0.192175001815405,"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."}}