{"id":"W4376127309","doi":"10.1016/j.tim.2023.04.005","title":"Models are useful until high-resolution structures are available","year":2023,"lang":"en","type":"erratum","venue":"Trends in Microbiology","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"National Institute of General Medical Sciences","keywords":"Biology; Cryo-electron microscopy; Resolution (logic); Biophysics; Computer science; Artificial intelligence","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":[0.001258093,0.001811796,0.001124571,0.0008100372,0.001289262,0.00318817,0.002322042,0.003474945,0.1188226],"category_scores_gemma":[0.01593369,0.0008593078,0.0007670332,0.001197276,0.0008259763,0.005140796,0.001033549,0.003362646,0.06011043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001102683,"about_ca_system_score_gemma":0.001412609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008234723,"about_ca_topic_score_gemma":0.01188931,"domain_scores_codex":[0.9994439,0.0001251841,0.00004336534,0.0001224572,0.0002323129,0.00003271084],"domain_scores_gemma":[0.994755,0.002594602,0.0002565833,0.001092404,0.001075381,0.0002259663],"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":[0.0001873603,0.00003550887,0.0007058844,0.0005132666,0.00003988135,0.0004216347,0.00005179944,0.0546315,0.001486387,0.05392129,0.8183536,0.06965185],"study_design_scores_gemma":[0.0001552064,0.00003418932,0.0004491028,0.0002799342,0.00005518806,0.0002900094,0.00008543146,0.1279859,0.003431908,0.1355231,0.7316114,0.00009872811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.008488321,0.005961596,0.5130785,0.03528792,0.1116903,0.0002521693,0.04233519,0.02152603,0.26138],"genre_scores_gemma":[0.1204258,0.01106885,0.4664898,0.01541247,0.008751994,0.001031035,0.04125124,0.02492165,0.3106471],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1188226,"threshold_uncertainty_score":0.3975013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03270382869765249,"score_gpt":0.2476954667435859,"score_spread":0.2149916380459334,"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."}}