{"id":"W4210795898","doi":"10.1242/jcs.250365","title":"First person – Mang Zhu","year":2020,"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":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Biology; Selection (genetic algorithm); Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001923049,0.0009395333,0.0009308351,0.001022876,0.004228151,0.004612376,0.0007678479,0.002232827,0.516362],"category_scores_gemma":[0.01257185,0.0006011712,0.0003105421,0.0006614355,0.001118376,0.00467489,0.00446662,0.004136421,0.3171926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001864088,"about_ca_system_score_gemma":0.003335831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001675601,"about_ca_topic_score_gemma":0.00334722,"domain_scores_codex":[0.9975513,0.0006436667,0.0001303054,0.0005597192,0.0008082071,0.0003068647],"domain_scores_gemma":[0.9840378,0.00118973,0.0005898023,0.0008933246,0.00384508,0.009444347],"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":[0.00003751155,0.00003303463,0.0002545544,0.00005990888,0.000001921246,0.0002619809,0.0007009828,0.00001378786,0.0004868032,0.001256095,0.97662,0.0202735],"study_design_scores_gemma":[0.000003883028,0.00001538693,0.0003072455,0.00003699884,6.454036e-7,0.0002540253,0.0009653029,0.00003045864,0.00008574207,0.0002858102,0.9980064,0.000007938513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01356476,0.00993785,0.009580521,0.2713568,0.1452249,0.0008657768,0.00521446,0.01036166,0.5338933],"genre_scores_gemma":[0.02262024,0.001098954,0.001478443,0.03630332,0.004417906,0.0003693302,0.0003714914,0.001624782,0.9317155],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.516362,"threshold_uncertainty_score":0.6898509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01945812242770775,"score_gpt":0.2638579377953372,"score_spread":0.2443998153676294,"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."}}