{"id":"W6930542625","doi":"10.5281/zenodo.14191746","title":"Guardian Blood Balance CANADA: Natural Support for Healthy Blood Sugar Levels","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood sugar; Balance (ability); Ginseng; Sugar; Insulin; Artificial Sweetener; Blood pressure","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":[],"category_scores_codex":[0.0004846823,0.0005092528,0.0003870158,0.0009509153,0.002325791,0.00269693,0.0008686777,0.001692558,0.2568312],"category_scores_gemma":[0.001447285,0.0002203133,0.0004487765,0.0009039039,0.0005928224,0.001238052,0.001515591,0.002047503,0.0522255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004154782,"about_ca_system_score_gemma":0.0116479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2130397,"about_ca_topic_score_gemma":0.5145336,"domain_scores_codex":[0.9994872,0.00003280661,0.00001364516,0.00005919178,0.0003174752,0.00008964232],"domain_scores_gemma":[0.9985215,0.00007378717,0.00005042263,0.00004070945,0.0006347148,0.0006788099],"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":[0.0003466571,0.0001238333,0.0005286549,0.0003809451,0.00001129017,0.0001437448,0.0001034116,0.00001234498,0.001942763,0.002515862,0.8660074,0.127883],"study_design_scores_gemma":[0.00008363232,0.00005051465,0.001651084,0.0001994339,0.00001303809,0.0001480521,0.00008617591,0.00003137486,0.0004469515,0.0003394831,0.9969373,0.00001305571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009603621,0.03995676,0.001877679,0.03606795,0.006978662,0.0006047222,0.01631183,0.00384792,0.8847508],"genre_scores_gemma":[0.02659245,0.0258194,0.005809532,0.01479532,0.0008666795,0.0002307394,0.008537127,0.001012217,0.9163365],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7431688,"threshold_uncertainty_score":0.8591861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02522793041212288,"score_gpt":0.2523784070850911,"score_spread":0.2271504766729682,"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."}}