{"id":"W4388866199","doi":"10.1186/s13100-023-00306-5","title":"Proceedings of the inaugural Dark Genome Symposium: November 2022","year":2023,"lang":"en","type":"article","venue":"Mobile DNA","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"National Institute on Aging; Francis Crick Institute","keywords":"Session (web analytics); Library science; Sociology; Engineering ethics; Engineering; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004203829,0.001387714,0.0006171251,0.0009978989,0.002627023,0.006527105,0.001005609,0.005896206,0.0769542],"category_scores_gemma":[0.003411509,0.0003602047,0.0009244239,0.0006465138,0.0008454122,0.00178746,0.003135849,0.00692972,0.03819088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187486,"about_ca_system_score_gemma":0.003155308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002407105,"about_ca_topic_score_gemma":0.006874467,"domain_scores_codex":[0.9983404,0.0002895385,0.00005651267,0.0001958977,0.0007288113,0.0003887685],"domain_scores_gemma":[0.9966581,0.0003102489,0.0001080056,0.00008311322,0.0009557405,0.001884876],"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":[0.0001379701,0.00003289405,0.0001084986,0.00008524374,0.00000703509,0.0001501743,0.0000565818,0.00003582844,0.0006260467,0.001169032,0.9843193,0.01327146],"study_design_scores_gemma":[0.000009391409,0.00002423711,0.0004647806,0.00005819683,0.00000371579,0.00005789459,0.00009091089,0.00002038384,0.0001679049,0.0005113318,0.9985847,0.000006441271],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.003141809,0.04379202,0.002450273,0.1688968,0.6236828,0.0001992451,0.001988525,0.0004077968,0.1554407],"genre_scores_gemma":[0.01782661,0.02096398,0.001794435,0.04635054,0.1088119,0.0002463406,0.003102643,0.0005177509,0.8003857],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0769542,"threshold_uncertainty_score":0.2574375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003941069401546494,"score_gpt":0.2460652499286461,"score_spread":0.2421241805270996,"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."}}