{"id":"W6930202790","doi":"10.5281/zenodo.12606491","title":"Sugar Defender Walmart Canada: Exploring Sugar Defender and Blood Balance Supplements","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cognitive Abilities and Testing","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blood sugar; Quality (philosophy); Context (archaeology); Government (linguistics); Population; Product (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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003153701,0.0002991708,0.0002667601,0.0002585039,0.000561472,0.0003492409,0.0004998233,0.0001140662,0.12307],"category_scores_gemma":[0.0003053777,0.0003215505,0.0000518355,0.0002995709,0.000132893,0.00006897725,0.001039981,0.0004629445,0.004431644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001394825,"about_ca_system_score_gemma":0.00001468403,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02711324,"about_ca_topic_score_gemma":0.002402744,"domain_scores_codex":[0.9976904,0.0002510363,0.0002812248,0.0008058079,0.0003761819,0.0005952958],"domain_scores_gemma":[0.9989434,0.0000528775,0.0001141687,0.0004952549,0.0001906476,0.0002035999],"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":[0.00001518733,0.00006129017,0.00005585774,0.0002073276,0.0002951032,0.0001296159,0.0009741834,2.535726e-7,0.000027789,0.004028371,0.9818867,0.01231825],"study_design_scores_gemma":[0.0005219042,0.00009643793,0.0005807749,0.0001650426,0.00008804039,0.0001570849,0.001674827,0.000005655541,0.00001088497,0.000122208,0.9962519,0.0003252765],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002841413,0.002274197,0.00007897621,0.0002781654,0.0006591312,0.0005509522,0.001561723,0.000893214,0.9908623],"genre_scores_gemma":[0.2188075,0.0006183623,0.0002329076,0.0005526051,0.001436484,0.000001463067,0.004024151,0.02125762,0.7530689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2377933,"threshold_uncertainty_score":0.9999236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07626555944229133,"score_gpt":0.270943063569393,"score_spread":0.1946775041271017,"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."}}