{"id":"W6930297140","doi":"10.5281/zenodo.13119293","title":"NexaSlim Australia: Reviews, Ingredients, Work, Benefits & Price?","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ketosis; Ketone bodies; Energy metabolism; Energy expenditure; Upgrade; Weight loss; sort","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007855858,0.0003073553,0.0006416279,0.0008092221,0.0004504907,0.001045227,0.0009972549,0.0002033492,0.2625134],"category_scores_gemma":[0.0002400182,0.0003444253,0.0002345506,0.001161165,0.00008471194,0.0001055072,0.001004252,0.0003955534,0.398968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001828637,"about_ca_system_score_gemma":0.000001123614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002627876,"about_ca_topic_score_gemma":0.00000800758,"domain_scores_codex":[0.9977995,0.0000803903,0.0007087014,0.0008413329,0.0001159637,0.0004541356],"domain_scores_gemma":[0.9983203,0.000006605003,0.0005153875,0.0008741228,0.00009604481,0.0001874773],"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":[0.000004350564,0.0000427355,0.000007645765,0.0002988391,0.0001823518,0.00000481494,0.0002093023,0.0000047025,0.000001293645,0.02866388,0.9648098,0.005770302],"study_design_scores_gemma":[0.0001408783,0.00003486222,0.00007650481,0.0003268173,0.00003110875,0.00001792752,0.00002185585,0.00001169981,3.525182e-7,0.0004317867,0.9985589,0.000347325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005388,0.01944548,0.0006372044,0.0003076931,0.0005313506,0.0005963019,0.001395724,0.0006670512,0.9763653],"genre_scores_gemma":[0.001588285,0.002633369,0.0002856742,0.00005979093,0.0007450426,1.902193e-7,0.002228647,0.006206646,0.9862524],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1364546,"threshold_uncertainty_score":0.9999918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1246912780914769,"score_gpt":0.2576339389468105,"score_spread":0.1329426608553335,"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."}}