{"id":"W6930105118","doi":"10.5281/zenodo.12060979","title":"Ernst topitsch pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Macrophage Migration Inhibitory Factor","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mythology; Domain (mathematical analysis); Perspective (graphical); Semantic theory of truth","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":[0.0002466669,0.0002553436,0.0002436754,0.000422761,0.0006218169,0.0003827884,0.0008242296,0.000376062,0.6488594],"category_scores_gemma":[0.0001959221,0.0002571075,0.00009857803,0.0002746826,0.0002253761,0.00005543127,0.000826242,0.0006051071,0.7037264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009247629,"about_ca_system_score_gemma":0.000004937115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003522092,"about_ca_topic_score_gemma":0.000001670128,"domain_scores_codex":[0.998362,0.0003348441,0.0002563565,0.0005776055,0.00009967822,0.0003695129],"domain_scores_gemma":[0.9990895,0.00001243018,0.000130693,0.0005577275,0.0001531179,0.00005653406],"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":[0.00001548311,0.00005020691,1.996087e-7,0.0001424867,0.0001504845,0.00001795594,0.0002734922,2.541375e-7,0.009313636,0.002013738,0.9781166,0.009905402],"study_design_scores_gemma":[0.0003270608,0.00009988767,0.000005485749,0.0001187107,0.00003651584,0.0001199891,0.00009175859,0.000001144898,0.001192589,0.00004705106,0.99771,0.000249819],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005765996,0.002499736,0.0003332528,0.000244146,0.001233473,0.0004493335,0.0008355966,0.001891464,0.9924554],"genre_scores_gemma":[0.003106119,0.0001202256,0.00004108484,0.0001087588,0.0003733694,7.291519e-8,0.004998079,0.007058902,0.9841934],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05486692,"threshold_uncertainty_score":0.9999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02109190690851281,"score_gpt":0.2370636541022656,"score_spread":0.2159717471937528,"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."}}