{"id":"W4393507683","doi":"10.5281/zenodo.1304365","title":"The Process Of Hdac11 Assay Development: Check For Linearity And Km-Repeat","year":2018,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Linearity; Process (computing); Computer science; Engineering; Programming language; Electronic engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.005129661,0.003003816,0.00260003,0.002784659,0.0007374943,0.0027881,0.002521189,0.001682137,0.01204634],"category_scores_gemma":[0.01159577,0.0008289061,0.002139119,0.002664713,0.0005725218,0.0009795906,0.001714203,0.002276004,0.02794108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226354,"about_ca_system_score_gemma":0.002325712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003732234,"about_ca_topic_score_gemma":0.008557551,"domain_scores_codex":[0.9965892,0.0006563298,0.0005927645,0.001321751,0.00057177,0.0002682983],"domain_scores_gemma":[0.9970049,0.0009680286,0.0002904225,0.001033152,0.0005716227,0.0001317385],"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":[0.004177175,0.0006690561,0.03169578,0.01638905,0.001963782,0.000409551,0.0004032796,0.005214937,0.02032143,0.002294392,0.8518615,0.06460005],"study_design_scores_gemma":[0.00163733,0.000399081,0.03374533,0.0007710291,0.0006959459,0.0007684496,0.000148662,0.003856836,0.02944662,0.003160848,0.9252055,0.0001643613],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005662722,0.001013377,0.003686801,0.0002215283,0.0001222302,0.0002567728,0.9828791,0.004473235,0.001684182],"genre_scores_gemma":[0.004454261,0.0003144516,0.005745103,0.000102764,0.00001545771,0.001023826,0.9869516,0.0005327911,0.0008595865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01204634,"threshold_uncertainty_score":0.040299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03268897396719186,"score_gpt":0.2799348981959112,"score_spread":0.2472459242287193,"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."}}