{"id":"W2462607544","doi":"10.1371/journal.pone.0065848.g001","title":"The EcoData Retriever dataset download interface.","year":2015,"lang":"en","type":"paratext","venue":"Figshare","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Labrador Retriever; Interface (matter); Computer science; Medicine; Computational biology; World Wide Web; Biology; Operating system; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001712634,0.00249879,0.001704311,0.009179541,0.0008842676,0.004111151,0.003320215,0.001857903,0.2814542],"category_scores_gemma":[0.00724439,0.001058717,0.001761439,0.01089559,0.0004719005,0.003711889,0.004299904,0.002351021,0.3621896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244334,"about_ca_system_score_gemma":0.0023762,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.015187,"about_ca_topic_score_gemma":0.0320983,"domain_scores_codex":[0.998691,0.0001476151,0.0002195983,0.000354356,0.000392601,0.0001947562],"domain_scores_gemma":[0.9962732,0.0007839497,0.000254547,0.001294037,0.0009086801,0.0004857079],"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":[0.00002021683,0.00001032604,0.0003075775,0.000446698,0.00001612281,0.00001561683,0.00002387628,0.00005006004,0.0001844874,0.0004991366,0.9963095,0.002116406],"study_design_scores_gemma":[0.00006011961,0.000007353764,0.001482454,0.0001601078,0.00001493974,0.00003189891,0.000055605,0.0001285082,0.0003535723,0.001120173,0.9965631,0.00002214596],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"software","genre_scores_codex":[0.00005959923,0.00003785764,0.0002107671,0.00006311897,0.00002917666,0.00002428191,0.9941267,0.002629261,0.002819324],"genre_scores_gemma":[0.0002325964,0.0000509322,0.0006443105,0.00007336265,0.00001110781,0.00009762177,0.9961597,0.001080358,0.001649978],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2814542,"threshold_uncertainty_score":0.941558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08166784795226362,"score_gpt":0.318842686216146,"score_spread":0.2371748382638824,"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."}}