{"id":"W6958583942","doi":"10.6084/m9.figshare.27633417.v1","title":"<b>IMPACT OF MULTIVITAMINS AND PROCESSED MEAT ON AGING: A MACHINE LEARNING APPROACH</b>","year":2024,"lang":"en","type":"other","venue":"Figshare","topic":"Art, Aesthetics, and Perception","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multivitamin; Processed meat; Consumption (sociology); Ageing; Ascorbic acid; Vitamin E; Vitamin","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":[],"consensus_categories":[],"category_scores_codex":[0.002056933,0.000733926,0.0003710572,0.001461579,0.0004021861,0.001784805,0.0008581026,0.0006330961,0.03247184],"category_scores_gemma":[0.006213786,0.0002195444,0.001557877,0.001139701,0.0004491484,0.001156513,0.0005438552,0.0009461761,0.006301494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008155241,"about_ca_system_score_gemma":0.0007697843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01213348,"about_ca_topic_score_gemma":0.02050484,"domain_scores_codex":[0.9996747,0.0001133811,0.00001712045,0.00007467677,0.00008802472,0.00003204581],"domain_scores_gemma":[0.9977716,0.001366538,0.000194415,0.0001713947,0.0004064022,0.00008959331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001216342,0.000300879,0.125338,0.001190706,0.0005757064,0.0004534295,0.0003143862,0.032956,0.007168867,0.01010936,0.1156752,0.7047011],"study_design_scores_gemma":[0.0001403794,0.0007536119,0.3430481,0.0009247413,0.0008017368,0.0008728193,0.0004245589,0.3995403,0.0143708,0.05228407,0.1866061,0.0002328297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.327582,0.02298948,0.4458436,0.02627752,0.005321566,0.001091565,0.06631119,0.01643153,0.08815151],"genre_scores_gemma":[0.7039877,0.006486844,0.2225207,0.002531792,0.001292531,0.0004703329,0.02156057,0.001329271,0.03982028],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03247184,"threshold_uncertainty_score":0.1086291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08035912401857406,"score_gpt":0.2839824061418613,"score_spread":0.2036232821232873,"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."}}