{"id":"W4321597944","doi":"10.1242/jcs.261055","title":"First person – Tetsuaki Miyake","year":2023,"lang":"en","type":"article","venue":"Journal of Cell Science","topic":"RNA Research and Splicing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Selection (genetic algorithm); Library science; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003908687,0.0009556094,0.0008427656,0.0008938177,0.00574212,0.003909749,0.001236049,0.002829389,0.2734139],"category_scores_gemma":[0.02339807,0.0006225725,0.0003906068,0.0006341862,0.00132777,0.004579975,0.005778953,0.006091849,0.1214232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110401,"about_ca_system_score_gemma":0.005482594,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002572691,"about_ca_topic_score_gemma":0.004295089,"domain_scores_codex":[0.9957305,0.00109175,0.0002379109,0.0009660143,0.00142637,0.0005474765],"domain_scores_gemma":[0.9713516,0.002375335,0.001172428,0.001509822,0.00861238,0.0149784],"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":[0.00007996386,0.00005229894,0.0003997972,0.0001428513,0.000005118387,0.000754253,0.004105976,0.00002242217,0.002030602,0.001756438,0.9572815,0.03336887],"study_design_scores_gemma":[0.00001019134,0.00002362584,0.000436741,0.000092553,0.000002886306,0.000722817,0.003930289,0.00005438326,0.0003315487,0.0006958048,0.9936745,0.00002460814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02019746,0.01401403,0.02270015,0.5246911,0.1908254,0.0008144974,0.002522782,0.004876739,0.2193578],"genre_scores_gemma":[0.07811205,0.00290405,0.007197528,0.1066545,0.009686043,0.0009758739,0.0005012061,0.002049526,0.7919192],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2734139,"threshold_uncertainty_score":0.9146607,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01833036280966576,"score_gpt":0.2864637941355889,"score_spread":0.2681334313259232,"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."}}