{"id":"W6931564930","doi":"10.5281/zenodo.6611672","title":"Introducing the Helium Data Exporter Tripal Module: An additional way to visualize pedigree and phenotypic data stored in a Tripal web portal.","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Visualization; Data visualization; Categorical variable; Overlay; Raw data; Helium; Web application; Workflow","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":[],"consensus_categories":[],"category_scores_codex":[0.002647609,0.001330341,0.0006879279,0.002631156,0.0004434321,0.003017594,0.001658451,0.0009574882,0.0313395],"category_scores_gemma":[0.007405926,0.0008641515,0.001127484,0.001409013,0.0005632162,0.003306099,0.004485452,0.002061555,0.01269967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004706994,"about_ca_system_score_gemma":0.0008311037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002259078,"about_ca_topic_score_gemma":0.002601344,"domain_scores_codex":[0.9990239,0.0002077919,0.000110589,0.0001925542,0.000371091,0.00009404724],"domain_scores_gemma":[0.9956863,0.001441651,0.0002139694,0.00146785,0.0008783888,0.0003119216],"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":[0.001876483,0.000509427,0.01627783,0.002109664,0.0005184991,0.002115324,0.002600208,0.00873859,0.04295431,0.0258411,0.5343016,0.362157],"study_design_scores_gemma":[0.0004153247,0.0001672587,0.01090962,0.0004845461,0.0001137121,0.001806216,0.0004218732,0.05571992,0.06789514,0.02240883,0.8392436,0.0004139731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01106737,0.0002082629,0.5596918,0.0006799454,0.0003476801,0.0004315482,0.03048517,0.384581,0.01250708],"genre_scores_gemma":[0.1446512,0.000755892,0.6049834,0.001584425,0.0002892162,0.00145964,0.1041267,0.1137428,0.0284069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0313395,"threshold_uncertainty_score":0.1048411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07353076646986728,"score_gpt":0.312044887047507,"score_spread":0.2385141205776397,"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."}}