{"id":"W4247251837","doi":"10.3410/f.1116886.572974","title":"Faculty Opinions recommendation of Computational biology resources lack persistence and usability.","year":2008,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Persistence (discontinuity); Usability; Computer science; Data science; Biology; World Wide Web; Computational biology; Human–computer interaction; Engineering","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":[0.00115679,0.0003740326,0.0006264008,0.0002090511,0.0002270394,0.00005919339,0.00115151,0.0007906159,0.0001058028],"category_scores_gemma":[0.007513053,0.0002473258,0.0003877227,0.0006939615,0.001502251,0.00002216182,0.0007789408,0.000579257,0.00001507567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003775991,"about_ca_system_score_gemma":0.0004955396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003624416,"about_ca_topic_score_gemma":0.000007469162,"domain_scores_codex":[0.9964477,0.0003902616,0.001272516,0.0005900463,0.0009580127,0.0003414086],"domain_scores_gemma":[0.9938345,0.0001182172,0.0008575315,0.0008903032,0.003987129,0.0003123112],"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":[0.00001924934,0.0001973881,0.00003315636,0.003559842,0.0001045437,8.57637e-8,0.00009155561,3.199038e-7,0.00001341801,0.00002350923,0.9933879,0.002569023],"study_design_scores_gemma":[0.0004932134,0.0003516329,0.001968712,0.001540882,0.00005528275,0.00004245675,0.0000539918,0.00002656202,0.00004659957,0.00003841702,0.995137,0.0002452965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002538763,0.001453292,0.00007429867,0.06662028,0.0003173635,0.0007122197,0.9307263,0.000008679816,0.00006212151],"genre_scores_gemma":[0.00007301435,0.002109347,0.001493431,0.002532244,0.0002470351,0.0000588882,0.993005,0.00001373531,0.000467285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06408804,"threshold_uncertainty_score":0.9999979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05096204824686573,"score_gpt":0.366201450515136,"score_spread":0.3152394022682702,"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."}}