{"id":"W4248344981","doi":"10.1242/jcs.225607","title":"Cell scientist to watch – Siobhan Braybrook","year":2018,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Cell and molecular biology; Plant biology; Library science; Plant development; Botany; Genetics","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":[0.001905197,0.00009235926,0.000142358,0.00005522827,0.0004443929,0.000169719,0.001401561,0.00004879604,0.000321518],"category_scores_gemma":[0.0001728643,0.00003230992,0.00007078549,0.001383175,0.0007151951,0.0002294149,0.0002612874,0.0001656605,0.0003384514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004898693,"about_ca_system_score_gemma":0.0001044085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002150978,"about_ca_topic_score_gemma":0.00006253964,"domain_scores_codex":[0.9981042,0.00006579346,0.0002478948,0.000264404,0.0008092369,0.0005084957],"domain_scores_gemma":[0.9987134,0.00009133124,0.0001499985,0.00007427372,0.0005369974,0.0004340398],"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":[0.00002082784,0.00005289257,0.001706181,0.000001258319,7.548143e-7,0.00002160831,0.00005031063,0.000001106374,0.9883945,0.00001066752,0.006992561,0.002747352],"study_design_scores_gemma":[0.00009621568,0.001254538,0.02510342,0.0000142193,0.00000327525,0.00009576089,0.00007395375,0.00002693502,0.9111572,0.0001167979,0.06194264,0.0001150283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9872891,0.000045656,0.00004585709,0.001988202,0.0004105776,0.00008464467,0.000005609291,0.000007472763,0.01012288],"genre_scores_gemma":[0.9958705,0.00001207258,0.001031184,0.000466821,0.0003526752,5.963122e-7,6.656581e-7,5.261398e-7,0.002264985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07723727,"threshold_uncertainty_score":0.4350221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385446678103153,"score_gpt":0.2567953522098887,"score_spread":0.2429408854288572,"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."}}