{"id":"W3103858969","doi":"","title":"Stem Cell & Cancer Symposium (SCCS) 2018","year":2018,"lang":"en","type":"article","venue":"","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stem Cell Network","funders":"","keywords":"Jargon; Theme (computing); Kuala lumpur; Stem cell; Biology; Computer science; Business; World Wide Web; 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":[0.002975228,0.0006397993,0.0004344741,0.001016298,0.001630314,0.003401382,0.0007505575,0.003020022,0.05665581],"category_scores_gemma":[0.003889325,0.0001739083,0.0007449946,0.0004194158,0.0009155819,0.001144224,0.002639605,0.003062301,0.02011365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002627418,"about_ca_system_score_gemma":0.005316851,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002261174,"about_ca_topic_score_gemma":0.006413525,"domain_scores_codex":[0.9987375,0.0002456147,0.00006100247,0.00009612002,0.0006171887,0.0002425716],"domain_scores_gemma":[0.9974816,0.0002638209,0.0001062764,0.0000650123,0.0008238708,0.001259343],"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":[0.00009485843,0.00002761012,0.0001672773,0.000152166,0.000008044655,0.0001166153,0.0001170827,0.00005207528,0.0006464953,0.003901774,0.9569173,0.03779886],"study_design_scores_gemma":[0.000006924235,0.00002592709,0.0002536308,0.0000901328,0.000003493778,0.0000797562,0.0000841734,0.00002144321,0.0003437053,0.0006562437,0.9984303,0.000004319625],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00960812,0.07234126,0.003458478,0.2733524,0.3339778,0.0003539117,0.002434278,0.0008539162,0.30362],"genre_scores_gemma":[0.04115009,0.04139725,0.003491599,0.03176779,0.06275626,0.0003592348,0.003097947,0.0003518318,0.8156281],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05665581,"threshold_uncertainty_score":0.1895326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342736642575256,"score_gpt":0.3044957076695731,"score_spread":0.2810683412438206,"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."}}