{"id":"W6930229911","doi":"10.5281/zenodo.1035842","title":"Canadian National Data Services Framework Summit, Sep 22, 2017: Summary","year":2017,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hepatitis C virus research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data system; Research data; Data quality; Data as a service; Data collection","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.04412025,0.002569127,0.002366968,0.01070021,0.01143195,0.01524614,0.008302608,0.004955568,0.03007393],"category_scores_gemma":[0.07008571,0.001658834,0.002864984,0.01720041,0.00309501,0.004557943,0.01012491,0.009540042,0.01349352],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1426801,"about_ca_system_score_gemma":0.5542728,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9887074,"about_ca_topic_score_gemma":0.993158,"domain_scores_codex":[0.9592655,0.002387253,0.001800924,0.001356321,0.02838406,0.006805906],"domain_scores_gemma":[0.8592457,0.004817426,0.002422345,0.00279657,0.1090596,0.02165836],"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":[0.00002613354,0.000006659717,0.0004066991,0.0001778748,0.00001447103,0.000008817594,0.00005750452,0.00006738763,0.00002160598,0.00107827,0.9947439,0.003390543],"study_design_scores_gemma":[0.00004293929,0.000008048642,0.01188422,0.0007374883,0.0000418799,0.00001094185,0.0005953724,0.00013769,0.0002087011,0.0007661458,0.9854913,0.00007534887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001843876,0.01282377,0.001937414,0.1586446,0.01525512,0.00206602,0.7212752,0.00145657,0.08469743],"genre_scores_gemma":[0.02263993,0.02073908,0.01556228,0.05750085,0.003051893,0.004569125,0.7444378,0.001842688,0.1296564],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9847538,"threshold_uncertainty_score":0.9943695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09607661466133084,"score_gpt":0.3394942024977601,"score_spread":0.2434175878364293,"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."}}