{"id":"W2966344753","doi":"10.21105/joss.01182","title":"VIVO: a system for research discovery","year":2019,"lang":"es","type":"article","venue":"The Journal of Open Source Software","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Institutes of Health","keywords":"In vivo; Computational biology; Data science; Computer science; Biology; Biotechnology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004838679,0.001813856,0.001647194,0.008123426,0.001615122,0.008217132,0.003857234,0.002372005,0.04366561],"category_scores_gemma":[0.01434881,0.001654191,0.001747383,0.007178394,0.0009864852,0.01054063,0.00828925,0.002334658,0.03945504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001957841,"about_ca_system_score_gemma":0.003293358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003357836,"about_ca_topic_score_gemma":0.005691817,"domain_scores_codex":[0.9973464,0.0006026141,0.0004150185,0.0006868828,0.0008088599,0.0001402131],"domain_scores_gemma":[0.9924859,0.002863103,0.0005672398,0.002619285,0.0008627879,0.000601789],"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":[0.001563109,0.0003257354,0.003955981,0.003853992,0.0004828423,0.0006756746,0.001001564,0.002341885,0.01041601,0.07599417,0.6323709,0.2670181],"study_design_scores_gemma":[0.0002544355,0.00007248018,0.001014194,0.00018345,0.0001045494,0.0003853288,0.000189711,0.009912555,0.004387151,0.03615204,0.9472204,0.0001236578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00284155,0.002355894,0.4188827,0.002153164,0.0008452263,0.001331955,0.07577008,0.4464059,0.04941343],"genre_scores_gemma":[0.04510606,0.004284009,0.6222762,0.003652815,0.0007025084,0.003129747,0.2478202,0.02168531,0.05134318],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.9917828,"threshold_uncertainty_score":0.146076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08423399063207367,"score_gpt":0.3737604722084825,"score_spread":0.2895264815764088,"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."}}