{"id":"W6930554930","doi":"10.5281/zenodo.12352659","title":"Negritude pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Adipokines, Inflammation, and Metabolic Diseases","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pretext; TSG101; Gloom; Circumstantial evidence; Nucleofection","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":["insufficient_payload"],"category_scores_codex":[0.0008002978,0.001608122,0.001232296,0.002617181,0.001636047,0.006920899,0.002638669,0.002117654,0.8870271],"category_scores_gemma":[0.004245575,0.0009055109,0.001151059,0.001724343,0.0007400566,0.005291539,0.003238817,0.003031159,0.8448486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428545,"about_ca_system_score_gemma":0.001521502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001991351,"about_ca_topic_score_gemma":0.003646886,"domain_scores_codex":[0.99899,0.00006968209,0.0000527408,0.0001369641,0.0006164698,0.0001340181],"domain_scores_gemma":[0.9976688,0.0002751296,0.00008669342,0.000399297,0.001142631,0.0004274723],"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":[0.00007440362,0.00004776986,0.00004251901,0.0002753411,0.000003254918,0.00008923369,0.00004516622,0.00005126581,0.001053306,0.002043313,0.9299895,0.06628494],"study_design_scores_gemma":[0.00001117158,0.00001624188,0.0001214514,0.00005364205,0.000002214247,0.00009995987,0.00002513325,0.00003087695,0.0005947858,0.0005118531,0.9985261,0.000006655572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004616468,0.001220225,0.001783857,0.001024374,0.003853564,0.0002424988,0.00569711,0.005543863,0.9801729],"genre_scores_gemma":[0.001525868,0.0009010174,0.0008135529,0.0006722496,0.0006396065,0.00008510664,0.003707724,0.002334418,0.9893204],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1129729,"threshold_uncertainty_score":0.161142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02419814014279166,"score_gpt":0.2625510539811635,"score_spread":0.2383529138383719,"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."}}