{"id":"W6949794005","doi":"10.5281/zenodo.5040443","title":"Keto Advanced 1500 canada","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Dietary Effects on Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Product (mathematics); Power (physics); Function (biology); Public health; Human health; Health benefits","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":[0.0004591715,0.0007918178,0.0004381893,0.001429494,0.001719013,0.002509327,0.0009533119,0.002402222,0.284898],"category_scores_gemma":[0.001035624,0.0003910394,0.0004987714,0.001063,0.0006529429,0.0009879265,0.0008795581,0.002155374,0.09228545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004562849,"about_ca_system_score_gemma":0.01074704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1816445,"about_ca_topic_score_gemma":0.4726104,"domain_scores_codex":[0.9994702,0.00002268202,0.00001443744,0.00006911627,0.0003562808,0.00006739703],"domain_scores_gemma":[0.9989057,0.00007184959,0.00005268291,0.00003794282,0.0006645035,0.0002674673],"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":[0.0003269634,0.00009433713,0.0002531119,0.001576775,0.00002683567,0.0002631899,0.00008999155,0.00007563673,0.007121244,0.007635281,0.788218,0.1943186],"study_design_scores_gemma":[0.00002213714,0.00003573328,0.0002211148,0.0001370616,0.000008291435,0.0001351489,0.00002334746,0.00001343644,0.000613277,0.0001473301,0.9986367,0.000006516705],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00242851,0.126566,0.001572953,0.007893275,0.006519043,0.0003946632,0.003569056,0.00104407,0.8500125],"genre_scores_gemma":[0.009052856,0.07778683,0.001130889,0.004746475,0.0005224659,0.00008902081,0.001675476,0.0002064963,0.9047894],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8183555,"threshold_uncertainty_score":0.9530787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02468223467809195,"score_gpt":0.2615251733470995,"score_spread":0.2368429386690075,"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."}}