{"id":"W2002780379","doi":"10.1038/nmeth.2405","title":"Labels and callouts","year":2013,"lang":"en","type":"article","venue":"Nature Methods","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Computational biology; Chemistry; Computer science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001826733,0.00007555137,0.000101973,0.00001332846,0.00002763766,0.00002046763,0.00007482669,0.0002665374,0.000127312],"category_scores_gemma":[0.0002554428,0.00005664768,0.00005518261,0.0000537942,0.00003172609,0.000001423918,0.00006348444,0.0001322388,0.000006362946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002680094,"about_ca_system_score_gemma":0.000005585499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001530749,"about_ca_topic_score_gemma":0.000002420607,"domain_scores_codex":[0.9994934,0.00007336696,0.00007586348,0.0001975337,0.00004950537,0.0001102856],"domain_scores_gemma":[0.9996773,0.00003128314,0.00002253229,0.0001624561,0.00004067435,0.00006577829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001754038,0.000008283825,0.0006309998,0.000003513247,0.00002471174,1.767742e-7,0.000004034164,1.365692e-7,0.9014041,0.00005447528,0.002012811,0.09585496],"study_design_scores_gemma":[0.00008867127,0.00001622991,0.003307845,0.00000301552,0.00001967189,0.000003272725,0.000008683241,0.00004076411,0.8635824,0.0006129035,0.1322152,0.0001013612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9772838,0.00699961,0.009146146,0.001051044,0.00008217511,0.00009495504,0.000003840334,0.00001387674,0.00532449],"genre_scores_gemma":[0.8649593,0.0001508081,0.132214,0.0009528043,0.0001745969,0.00001217224,0.00001316561,0.00001040194,0.001512741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302024,"threshold_uncertainty_score":0.2310025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004647196709015428,"score_gpt":0.3297234608461563,"score_spread":0.3250762641371409,"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."}}