{"id":"W4238860623","doi":"10.1242/bio.043349","title":"First person – Kingsley Ugwuagbo and Sujit Maiti","year":2019,"lang":"en","type":"article","venue":"Biology Open","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Breast cancer; Selection (genetic algorithm); Zebrafish; Library science; Psychoanalysis; Cancer; Genetics; Computer science; Psychology; Artificial intelligence; Gene","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":[0.0002301403,0.00009355794,0.0001245227,0.00002791749,0.00008001856,0.00004129075,0.000510213,0.0001807701,0.0003266779],"category_scores_gemma":[0.0001227427,0.00008077632,0.00002740636,0.00006502925,0.0001924455,0.000004006307,0.0005456256,0.0000846708,0.0002344182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008834765,"about_ca_system_score_gemma":0.00006988033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001850363,"about_ca_topic_score_gemma":0.0001144562,"domain_scores_codex":[0.9991521,0.00004115104,0.00009156336,0.0004021201,0.00005324035,0.0002598749],"domain_scores_gemma":[0.9994362,0.00002801695,0.00003463122,0.0003329947,0.00003786919,0.000130299],"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":[0.0001376373,0.00009009865,0.09256057,0.00003072372,0.00009840939,0.000002278967,0.00004298158,5.18686e-7,0.8508411,0.007532116,0.04158909,0.007074483],"study_design_scores_gemma":[0.0008470851,0.0004545101,0.04198153,0.00001138427,0.000005862307,0.00001672231,0.00006464971,0.00004341469,0.01528978,0.0004591799,0.940634,0.0001918923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9714981,0.0005252758,0.0002149105,0.003855281,0.00007770402,0.000747159,0.00005294957,0.00001171912,0.02301685],"genre_scores_gemma":[0.9929769,0.0002014831,0.0008340501,0.0008755038,0.00009790102,0.00009379393,0.0002396117,0.00001368246,0.004667093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8990449,"threshold_uncertainty_score":0.3576894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204230249719026,"score_gpt":0.3168813717222819,"score_spread":0.2948390692250916,"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."}}