{"id":"W4238456272","doi":"10.1515/iupac.76.0386","title":"Stem Cell","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pluripotent Stem Cells Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; Relation (database); Hazard; Computer science; Toxicology; Medicine; Chemistry; Pharmacology; Data mining; Biology; Linguistics; Philosophy","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":[0.001466722,0.001474606,0.001526714,0.005012248,0.0009607011,0.003407363,0.002204286,0.001743149,0.1305755],"category_scores_gemma":[0.009720706,0.0007178768,0.001377644,0.008736138,0.0004135315,0.001763189,0.002425071,0.001711278,0.1475175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001291073,"about_ca_system_score_gemma":0.003179,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008433672,"about_ca_topic_score_gemma":0.01945201,"domain_scores_codex":[0.998382,0.000253998,0.0003240648,0.0004702438,0.0004023068,0.000167425],"domain_scores_gemma":[0.9963377,0.001390194,0.0004303523,0.0007598593,0.0007572225,0.0003248014],"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":[0.0001003505,0.00001760458,0.001189181,0.002616755,0.00004713373,0.00004214705,0.00005285311,0.0002450662,0.000412,0.001220584,0.9836348,0.01042146],"study_design_scores_gemma":[0.00008467806,0.00001324842,0.001778955,0.000645534,0.00003313669,0.00006507536,0.00004408026,0.00009629998,0.0003089556,0.001178606,0.9957354,0.00001605888],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008427077,0.00023376,0.0001162573,0.00005696887,0.0000260257,0.00001467176,0.9980726,0.0002514206,0.001144],"genre_scores_gemma":[0.0002163821,0.0001979013,0.0003909131,0.000107437,0.000006578961,0.00008612618,0.9981833,0.00007085277,0.0007405776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1305755,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01261286596085744,"score_gpt":0.371059011247964,"score_spread":0.3584461452871066,"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."}}