{"id":"W6931630287","doi":"10.5281/zenodo.7734149","title":"patrickdemond/sampsim: Published results","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Muscle Physiology and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Software; Statistical software; Statistical analysis; Association (psychology); Data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007362866,0.002605049,0.002672812,0.008348797,0.001515004,0.005951602,0.00342691,0.001646117,0.5763806],"category_scores_gemma":[0.0402683,0.001669953,0.002787441,0.007380479,0.0008179636,0.003858648,0.003794414,0.002338553,0.4239187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009312295,"about_ca_system_score_gemma":0.00459801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948839,"about_ca_topic_score_gemma":0.004202727,"domain_scores_codex":[0.995746,0.0009859275,0.0005818199,0.0008394978,0.001314981,0.0005317199],"domain_scores_gemma":[0.9848884,0.007159252,0.001108217,0.002919624,0.003022996,0.0009014356],"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":[0.0003734767,0.00004711133,0.001524265,0.001066126,0.0001258582,0.0001479071,0.000137874,0.0004903834,0.0003316583,0.003351088,0.9633958,0.02900838],"study_design_scores_gemma":[0.0002225247,0.00006074785,0.003385633,0.0005311106,0.0001762044,0.0003580975,0.0001047382,0.002800784,0.002655476,0.01309391,0.9764686,0.0001421783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003382198,0.0008171489,0.03800194,0.001703549,0.002085562,0.0004265441,0.700269,0.1826676,0.07064646],"genre_scores_gemma":[0.03242404,0.001043716,0.06902143,0.00119084,0.0007968327,0.002202684,0.5928229,0.2187544,0.08174314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5763806,"threshold_uncertainty_score":0.6042416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02019616319597915,"score_gpt":0.2420876591798541,"score_spread":0.2218914959838749,"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."}}