{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006434074,0.0008192889,0.001037752,0.001549035,0.009259348,0.005932492,0.0008060414,0.002690126,0.06644997],"category_scores_gemma":[0.03872656,0.0006449063,0.0003055551,0.001088066,0.002964981,0.005522109,0.003474157,0.00663228,0.02523676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004677849,"about_ca_system_score_gemma":0.006591358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007382097,"about_ca_topic_score_gemma":0.00683014,"domain_scores_codex":[0.993389,0.00270588,0.0003322611,0.001053427,0.001772978,0.0007463879],"domain_scores_gemma":[0.964375,0.007633036,0.002294437,0.001413082,0.01336698,0.01091744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001906013,0.0001832306,0.002744362,0.0003996124,0.00001608946,0.002157688,0.1440929,0.00005583029,0.003477084,0.002997684,0.802051,0.04163399],"study_design_scores_gemma":[0.00001595786,0.0000545166,0.001726538,0.0003488116,0.000005956207,0.0008870197,0.131114,0.0001367548,0.0006161747,0.0009673098,0.8640488,0.00007803558],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1877924,0.01751963,0.01940403,0.575,0.03947885,0.002263434,0.002975108,0.002639794,0.1529268],"genre_scores_gemma":[0.4318621,0.005293351,0.01088138,0.1628267,0.003095154,0.002592852,0.0005585523,0.001565678,0.3813242],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06644997,"threshold_uncertainty_score":0.2222973,"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."}}