{"id":"W4310549931","doi":"10.1242/bio.059701","title":"First person – Kelli Fenelon","year":2022,"lang":"en","type":"article","venue":"Biology Open","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Library science; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001591531,0.00008004176,0.00008680778,0.00002405678,0.0003648929,0.00002284647,0.0004688852,0.00005695241,0.001426297],"category_scores_gemma":[0.00001859561,0.0000805759,0.00005878031,0.00005246067,0.00002133539,0.000002165357,0.0006687818,0.00009596424,0.00004163852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001728602,"about_ca_system_score_gemma":0.00004733024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002019724,"about_ca_topic_score_gemma":0.0001029437,"domain_scores_codex":[0.9993751,0.00006736298,0.0000849499,0.000283639,0.00003404548,0.000154911],"domain_scores_gemma":[0.9996237,0.000005970951,0.00004689674,0.0002653912,0.00001987587,0.00003816163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001565898,0.0001776149,0.00173005,0.000004041598,0.00009708673,0.000005780223,0.00008921501,0.00009142618,0.9222893,0.007460414,0.06587394,0.002024602],"study_design_scores_gemma":[0.000276308,0.0004837194,0.0002184656,0.000001016744,0.000006367645,0.00003105971,0.00024135,0.0001518832,0.02298728,0.0001257877,0.9753539,0.0001228922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353518,0.00183639,0.002317331,0.003571631,0.00236898,0.0008832262,0.0002321959,0.00002931978,0.05340916],"genre_scores_gemma":[0.9871657,0.00007288167,0.0002609247,0.0007824046,0.0001276964,0.000135092,0.0005094222,0.00001446462,0.01093142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9094799,"threshold_uncertainty_score":0.9994865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03049842440761302,"score_gpt":0.2835622311531797,"score_spread":0.2530638067455667,"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."}}