{"id":"W4283642753","doi":"10.17504/protocols.io.kqdg3pndel25/v1","title":"[RETRACTED] KETO MAX SCIENCE CANADA v1","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Diet and metabolism studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ketosis; Work (physics); Psychology; Medicine; Engineering; Endocrinology","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":[0.005188701,0.001774545,0.002581534,0.002977326,0.005080321,0.01088795,0.005710679,0.008735631,0.5826853],"category_scores_gemma":[0.04051882,0.001170735,0.001980838,0.003045266,0.002498581,0.004500214,0.00485738,0.01020333,0.5329485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005854139,"about_ca_system_score_gemma":0.01028842,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06558447,"about_ca_topic_score_gemma":0.0955798,"domain_scores_codex":[0.9943731,0.0005327534,0.0004379923,0.000752842,0.003239331,0.0006639608],"domain_scores_gemma":[0.9779765,0.001834258,0.0007068355,0.002732908,0.0137594,0.002990184],"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":[0.00002532586,0.000002648895,0.00002294775,0.0000385604,0.0000039202,0.0000374408,0.000008915805,0.000008070436,0.00002925731,0.0003078706,0.9938294,0.005685645],"study_design_scores_gemma":[0.000008427329,0.000003539604,0.00009456059,0.00005191068,0.000003729237,0.00004426643,0.00001511198,0.00001739691,0.00007568029,0.0003291066,0.999345,0.00001124463],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.000507782,0.006334912,0.004216797,0.2030528,0.4448813,0.0004597412,0.04088847,0.01985571,0.2798026],"genre_scores_gemma":[0.003560214,0.003821113,0.002910255,0.04130651,0.01829662,0.000244076,0.02037475,0.01175354,0.8977329],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9344155,"threshold_uncertainty_score":0.5952488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345128847379703,"score_gpt":0.2882958821873634,"score_spread":0.2648445937135663,"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."}}