{"id":"W4236695007","doi":"10.1515/iupac.83.0343","title":"Channel Blocker","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Process (computing); Field (mathematics); Computer science; Multidisciplinary approach; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; Social 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006560676,0.000458268,0.0004514035,0.0001690904,0.0001127914,0.00006130603,0.0007854216,0.0008884458,0.000843099],"category_scores_gemma":[0.001000999,0.0003263018,0.0002424882,0.0001119587,0.0004105845,0.000003062242,0.0006150568,0.000380655,0.00001384947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008615112,"about_ca_system_score_gemma":0.000996801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003530509,"about_ca_topic_score_gemma":0.0003105624,"domain_scores_codex":[0.9967943,0.00006991516,0.0005498928,0.0005535732,0.001290714,0.0007415597],"domain_scores_gemma":[0.9976418,0.00002410089,0.0001988008,0.001076962,0.0006373345,0.0004209718],"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":[0.0001474614,0.0001478115,0.000002548056,0.0001689966,0.0001366091,0.00001553188,0.0000048082,4.045274e-7,0.0005558627,4.565378e-7,0.9942648,0.004554717],"study_design_scores_gemma":[0.0009055707,0.0007085379,0.00001538547,0.0001432808,0.00004670938,0.00001800586,0.00002457867,0.000009136353,0.001764569,0.00005237246,0.9958473,0.0004644952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002633735,0.001106619,0.0005314199,0.0007859145,0.000783539,0.0003082027,0.9961007,0.00001640039,0.0001038814],"genre_scores_gemma":[0.00008250881,0.007705257,0.00007369059,0.0006479097,0.002486694,0.00001909466,0.9865428,0.00004025442,0.002401849],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.009557907,"threshold_uncertainty_score":0.9999189,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01501928225197081,"score_gpt":0.3815599501842237,"score_spread":0.3665406679322529,"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."}}