{"id":"W6996569098","doi":"","title":"SHORT CUTS #215 - What Sort Of Monster Would Disparage Anna Maria Tremonti?","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Andrographolide Research and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monster; sort; George (robot); Popular culture; Natural (archaeology)","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":["insufficient_payload"],"category_scores_codex":[0.0001895842,0.0003324911,0.0006955524,0.0001832452,0.00003737572,0.00005068914,0.0002637502,0.0006627695,0.1251664],"category_scores_gemma":[0.00004723148,0.0002937218,0.0003275447,0.00002214271,0.0002223135,7.01111e-7,0.0000938619,0.0005248939,0.005007213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003021712,"about_ca_system_score_gemma":0.00007042361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215203,"about_ca_topic_score_gemma":0.0001976498,"domain_scores_codex":[0.9980058,0.00003902602,0.0006994664,0.0002456217,0.0006346998,0.0003754062],"domain_scores_gemma":[0.9984583,0.00006470321,0.0003559564,0.0006893788,0.0001976272,0.0002340829],"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":[0.0001873365,0.0001302811,0.00008803961,0.0009850441,0.0001783978,0.00001815939,0.00005796337,0.00001109366,0.000003242776,0.00002951698,0.9888943,0.009416652],"study_design_scores_gemma":[0.0006973382,0.000215226,0.0002157011,0.0007992067,0.0001384547,0.00009290838,0.0001889557,0.00002299349,0.00003594508,0.000004970131,0.9973423,0.000246003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003138364,0.001359221,0.000002129884,0.0004231032,0.0001205139,0.001203465,0.0001898851,0.00009020077,0.9962977],"genre_scores_gemma":[0.004508907,0.003337755,0.0004782157,0.0002301023,0.0001192493,0.00003788402,0.0005596188,0.0001211202,0.9906071],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1201592,"threshold_uncertainty_score":0.9999515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009774315562502495,"score_gpt":0.2298049551118138,"score_spread":0.2200306395493113,"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."}}