{"id":"W2398870742","doi":"10.5281/zenodo.3781090","title":"Metadata Driven Tools Developed for the Canada Research Data Centre Network","year":2013,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Metadata; Computer science; Information retrieval; Data science; Data element; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01175168,0.002139452,0.001565527,0.01250564,0.003775358,0.0110983,0.00611266,0.001460451,0.02321971],"category_scores_gemma":[0.0284926,0.002697867,0.002455,0.01902601,0.001682928,0.006379504,0.005905174,0.00442923,0.01469753],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02069718,"about_ca_system_score_gemma":0.04814394,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5845474,"about_ca_topic_score_gemma":0.6007666,"domain_scores_codex":[0.9908471,0.0009756503,0.001380331,0.0008978149,0.005192466,0.0007066978],"domain_scores_gemma":[0.9786811,0.003989718,0.0008738058,0.005529459,0.009486362,0.001439384],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005352343,0.0002000753,0.005205885,0.001579956,0.0002366765,0.001350073,0.003927628,0.01464869,0.01067234,0.1592907,0.5023367,0.3000159],"study_design_scores_gemma":[0.00009445154,0.00001363654,0.001245697,0.0002623799,0.00004052571,0.0002390143,0.0003469278,0.01340366,0.007095773,0.01401431,0.9630518,0.0001917188],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003292854,0.0007796629,0.5713962,0.002540652,0.0004155903,0.002523662,0.1298816,0.2229945,0.06617526],"genre_scores_gemma":[0.01540191,0.001336011,0.7182526,0.0005921205,0.00006722719,0.002100325,0.1975679,0.03164995,0.03303204],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9889017,"threshold_uncertainty_score":0.8357986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2504983797713276,"score_gpt":0.3300292781948437,"score_spread":0.07953089842351613,"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."}}