{"id":"W6929329809","doi":"10.4224/20329062","title":"User's Guide: NBC 2005: Application and Intent Statements","year":2005,"lang":"en","type":"standard","venue":"NPARC","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Audit; Set (abstract data type); Subject (documents); Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002886167,0.0002583312,0.0002207532,0.0000594924,0.0000759705,0.00004960281,0.0002503238,0.000337412,0.0002025444],"category_scores_gemma":[0.00009600726,0.0002464517,0.00006385909,0.0000346032,0.00007911753,0.000004615628,0.0002653801,0.0002718595,0.00004335509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005509102,"about_ca_system_score_gemma":0.0001121511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001403555,"about_ca_topic_score_gemma":0.0000619424,"domain_scores_codex":[0.9986931,0.0000369918,0.0003992862,0.0003300963,0.0002565105,0.0002840169],"domain_scores_gemma":[0.9990381,0.000008612495,0.0002562762,0.0004807803,0.0001111845,0.0001050332],"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":[0.00004047824,0.00002823605,0.0002680184,0.0001873525,0.0001164858,8.901432e-7,0.00005156744,0.00003801323,0.01252079,0.0001776707,0.93426,0.05231055],"study_design_scores_gemma":[0.0003868467,0.0001093987,0.00008076488,0.00003922231,0.0000345663,0.000009370477,0.00002598738,0.0005023408,0.001533205,0.0000920145,0.9969273,0.000258973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01668455,0.006503919,0.1732059,0.00568561,0.002740018,0.004293327,0.003693552,0.0002614252,0.7869318],"genre_scores_gemma":[0.05268613,0.04911424,0.1858787,0.008371307,0.009147003,0.000763577,0.0431126,0.0006415505,0.6502849],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1366469,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006545324567407902,"score_gpt":0.3083496619446507,"score_spread":0.3018043373772428,"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."}}