{"id":"W4250387316","doi":"10.1242/jcs.223958","title":"Cell scientist to watch – Serge Mostowy","year":2018,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bachelor; Biology; Library science; Nobel laureate; Political science; Law","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":[0.003252282,0.00007874086,0.0002407202,0.0002724034,0.0002156446,0.00004442457,0.0004913273,0.00003721261,0.0003701706],"category_scores_gemma":[0.0008777205,0.00005221771,0.00008019551,0.001111992,0.0007305858,0.0002385176,0.0001310147,0.0002373303,0.0004430905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000127134,"about_ca_system_score_gemma":0.0006047213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002764135,"about_ca_topic_score_gemma":0.00000827615,"domain_scores_codex":[0.9979851,0.00004730035,0.0003459832,0.0002086456,0.0008580322,0.0005549666],"domain_scores_gemma":[0.9978033,0.00007351393,0.0001396508,0.0002406356,0.0008502696,0.0008926119],"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":[0.00009396125,0.0001182327,0.00692872,0.00001422625,0.000002906938,0.00006159113,0.0002344355,0.000007228135,0.8552539,0.00002968071,0.1360242,0.001230922],"study_design_scores_gemma":[0.0008201521,0.002883,0.04626422,0.00006426616,0.00002057089,0.0004503687,0.0001636216,0.0003526676,0.7101387,0.0001434976,0.2385782,0.0001206992],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550338,0.0001334721,0.0006125694,0.01229589,0.0007226566,0.00009490989,0.000001041823,0.000005727898,0.0310999],"genre_scores_gemma":[0.9855974,0.00006413655,0.006948904,0.002354573,0.0005321116,6.16473e-7,1.484017e-7,0.000005438426,0.004496727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1451152,"threshold_uncertainty_score":0.569518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342726027673509,"score_gpt":0.3597897622387439,"score_spread":0.3363625019620088,"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."}}