{"id":"W3179399555","doi":"","title":"Stem Cell Award","year":2021,"lang":"en","type":"article","venue":"Journal of Cancer Science and Research","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stem cell; Stem cell biology; Engineering ethics; Political science; Library science; Engineering; Biology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003444424,0.00002476517,0.0000948942,0.0001856873,0.0001649319,0.00005196457,0.00008436941,0.00004691928,0.00004710287],"category_scores_gemma":[0.00005015426,0.00001439082,0.00002398197,0.0009175267,0.001471714,0.0001011215,0.00005938523,0.0004507415,0.000001486058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008671002,"about_ca_system_score_gemma":0.003916366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001894544,"about_ca_topic_score_gemma":0.000006426871,"domain_scores_codex":[0.9977379,0.00003616797,0.0001368762,0.00008850241,0.001831529,0.0001690535],"domain_scores_gemma":[0.997034,0.00004881505,0.00004170194,0.00007185501,0.002550034,0.000253651],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008527979,0.0001104174,0.004545742,0.0001841454,0.00001538626,0.000281292,0.001024266,0.00000394283,0.4478831,0.001167917,0.004640309,0.5400583],"study_design_scores_gemma":[0.002664607,0.001290583,0.1620898,0.0009681757,0.00004766027,0.0008434367,0.003523923,0.001651234,0.4537001,0.003536128,0.3695423,0.0001420387],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8798081,0.01291556,0.00007532151,0.1034173,0.0004173407,0.00004912847,5.358734e-7,0.000001701104,0.003315067],"genre_scores_gemma":[0.9919897,0.005069837,0.0002009956,0.0002729313,0.000262803,4.959871e-7,5.23271e-8,0.000002030302,0.002201182],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5399162,"threshold_uncertainty_score":0.6947464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1203614992466358,"score_gpt":0.487966383425611,"score_spread":0.3676048841789752,"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."}}