{"id":"W4297946163","doi":"10.5281/zenodo.7125856","title":"Vissentials Max BHB Canada Reveiws","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pharmacology and Obesity Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics","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":[0.0009017969,0.001284972,0.001107386,0.002857095,0.002722336,0.005906691,0.002132025,0.002784126,0.8857347],"category_scores_gemma":[0.003968063,0.0009894242,0.0008819775,0.002904733,0.0008999538,0.003131602,0.002937383,0.00220693,0.7918131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004834516,"about_ca_system_score_gemma":0.01031769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1194989,"about_ca_topic_score_gemma":0.2365754,"domain_scores_codex":[0.9987584,0.00007099819,0.00004519246,0.0002086211,0.0007994139,0.000117317],"domain_scores_gemma":[0.9966209,0.0003112066,0.0001190164,0.0003383778,0.00187604,0.0007343537],"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":[0.0001014846,0.00003263004,0.0000937549,0.0004116366,0.000005535241,0.00006186264,0.00005434124,0.00005479722,0.001271611,0.002555762,0.9052544,0.09010212],"study_design_scores_gemma":[0.000007883782,0.000007781382,0.0001175623,0.00007460568,0.000002162007,0.00002641717,0.00002371598,0.00002721837,0.0002309086,0.0002190718,0.9992566,0.000006090215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003020116,0.002383488,0.001141281,0.001349962,0.001335061,0.0001480388,0.006831604,0.005008037,0.9815006],"genre_scores_gemma":[0.001057283,0.001398706,0.0007723894,0.0005188396,0.00009227405,0.00004335907,0.002815852,0.001655514,0.9916458],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1194989,"threshold_uncertainty_score":0.2376067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02841762287792982,"score_gpt":0.261922328307568,"score_spread":0.2335047054296382,"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."}}