{"id":"W6968959043","doi":"10.5281/zenodo.4912605","title":"Preservation for Dataverse in Canada : Recommendations Report","year":2021,"lang":"en","type":"report","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal; Council of Prairie and Pacific University Libraries; University of Guelph; University of British Columbia; University of Toronto; University of New Brunswick; University of Victoria","funders":"","keywords":"Digital preservation; Cloud storage; Cloud computing; Information repository; Information system; Documentation; Metadata","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.03735431,0.001263174,0.0007067231,0.005436655,0.007414684,0.01554714,0.007144812,0.007595288,0.04042866],"category_scores_gemma":[0.04640767,0.001196959,0.001895499,0.009382501,0.002657278,0.01170639,0.007937896,0.004692454,0.01817989],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05908369,"about_ca_system_score_gemma":0.4460887,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9431114,"about_ca_topic_score_gemma":0.9172878,"domain_scores_codex":[0.961201,0.002669195,0.001787508,0.001214475,0.02688964,0.006238129],"domain_scores_gemma":[0.8908352,0.004594013,0.002690821,0.005599543,0.08376676,0.0125138],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001133294,0.0001803878,0.003713548,0.0008130721,0.00004281482,0.0003550841,0.001047475,0.001738482,0.001332043,0.05148986,0.8607092,0.07846469],"study_design_scores_gemma":[0.00002055255,0.00002372573,0.002450348,0.0006101854,0.00002922929,0.00006858958,0.0009507712,0.0004972443,0.001374649,0.003370331,0.9905568,0.00004747769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01269661,0.01379018,0.0483362,0.2875881,0.006523971,0.006742445,0.09358303,0.009469614,0.5212699],"genre_scores_gemma":[0.06147919,0.03819817,0.1689409,0.0443021,0.001098536,0.003101893,0.1474732,0.005027158,0.5303789],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9928552,"threshold_uncertainty_score":0.4286842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1142296891740965,"score_gpt":0.3256267675434803,"score_spread":0.2113970783693838,"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."}}