{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004982241,0.001923153,0.001913454,0.005777715,0.001472138,0.003888887,0.004310492,0.00177207,0.5102925],"category_scores_gemma":[0.03431903,0.002143751,0.001282961,0.007469922,0.0005848439,0.005229995,0.002094058,0.003173947,0.5773017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003454945,"about_ca_system_score_gemma":0.005985517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05363448,"about_ca_topic_score_gemma":0.06370343,"domain_scores_codex":[0.9975399,0.0004345109,0.0003586952,0.0002513506,0.001192203,0.0002233664],"domain_scores_gemma":[0.9824167,0.004087007,0.0004562007,0.003050449,0.009347762,0.0006419328],"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":[0.00003489829,0.00001297732,0.0001087698,0.0001020025,0.000002545306,0.00000541453,0.00002253392,0.0001248447,0.0001244028,0.001254734,0.9855472,0.01265956],"study_design_scores_gemma":[0.00006547808,0.00001143092,0.0008352036,0.0001978536,0.00001098871,0.00004227583,0.00005941494,0.001242846,0.001285635,0.005361776,0.990841,0.00004596523],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0007216956,0.0003093806,0.03599906,0.001587671,0.0009062641,0.0008272905,0.7006705,0.06114257,0.1978355],"genre_scores_gemma":[0.003809799,0.0006440328,0.06886683,0.001253784,0.0002380346,0.002140392,0.6369697,0.03588627,0.2501911],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5102925,"threshold_uncertainty_score":0.6985083,"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."}}