{"id":"W2999120141","doi":"10.29173/hsi33","title":"Spotlight on Careers: Scott McComb","year":2019,"lang":"en","type":"article","venue":"Health Science Inquiry","topic":"Cell death mechanisms and regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"History","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004881376,0.00009228928,0.00009617842,0.00008217166,0.0001735339,0.00003067769,0.0002250124,0.00006773128,0.00003747641],"category_scores_gemma":[0.00001314184,0.00007655881,0.00003698983,0.0002108125,0.0001682752,0.000007433657,0.00007584918,0.00006298618,0.0001514376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004575099,"about_ca_system_score_gemma":0.0003416899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002149813,"about_ca_topic_score_gemma":0.000004727621,"domain_scores_codex":[0.9987854,0.00001397129,0.0001494928,0.0004132222,0.0002911422,0.0003467669],"domain_scores_gemma":[0.9993416,0.000003396903,0.00007173195,0.0004012955,0.00005981248,0.0001221568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009800203,0.0001346281,0.004313709,0.0001074497,0.000007498945,0.00000275865,0.0007865566,0.000832267,0.907962,0.01070622,0.005201754,0.06984711],"study_design_scores_gemma":[0.001795315,0.004713424,0.1335928,0.000252763,0.000007254227,0.00006306599,0.001502587,0.001959693,0.4842944,0.0009801978,0.3698571,0.0009814192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994579,0.0004544214,0.000351017,0.0008098842,0.001655977,0.0002727333,0.000001746648,0.00001753022,0.001857646],"genre_scores_gemma":[0.9962311,0.0001269885,0.0003497034,0.002179489,0.000206365,0.000004949736,0.00001722186,0.000009807495,0.0008744164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4236677,"threshold_uncertainty_score":0.3121978,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0280549176565219,"score_gpt":0.3223406571297043,"score_spread":0.2942857394731824,"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."}}