{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004458623,0.002184752,0.001531019,0.004613129,0.001243314,0.004313113,0.00350342,0.002305375,0.04844779],"category_scores_gemma":[0.02803888,0.001040119,0.001250321,0.009194554,0.0005660555,0.003290522,0.002661538,0.002460461,0.08292238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198583,"about_ca_system_score_gemma":0.004971565,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03019862,"about_ca_topic_score_gemma":0.07740497,"domain_scores_codex":[0.9947339,0.0009732743,0.0007172654,0.001080432,0.002002721,0.0004923291],"domain_scores_gemma":[0.9778132,0.005575557,0.00119175,0.00801192,0.00584147,0.001565961],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006184101,0.00001859693,0.0009295213,0.0002838502,0.00002208574,0.000009352298,0.00001379365,0.0001632645,0.0001294814,0.0004645577,0.9942914,0.003612311],"study_design_scores_gemma":[0.0001960329,0.00001338706,0.005258244,0.0001591613,0.00003665009,0.0000547817,0.00006530371,0.001666548,0.001110034,0.001683059,0.9897245,0.00003238786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000905198,0.0001621048,0.0007857681,0.0006417722,0.0001489722,0.00004558669,0.9879339,0.003684499,0.005692227],"genre_scores_gemma":[0.001337429,0.000065577,0.001154726,0.0001760468,0.00001418506,0.00005754486,0.9945272,0.000342483,0.002324794],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9955414,"threshold_uncertainty_score":0.162074,"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."}}