{"id":"W6894097562","doi":"10.5281/zenodo.6760995","title":"Data Culture in Canada: Perceptions and Practice Across the Disciplines","year":2021,"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":"University of Ottawa","funders":"","keywords":"RDM; Stewardship (theology); Agency (philosophy); Data management; Sustainability; Funding Agency; Data management plan; Data quality","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","open_science"],"consensus_categories":[],"category_scores_codex":[0.01737887,0.0003377274,0.0007625954,0.004939895,0.02291978,0.01470108,0.002810454,0.001228211,0.002809187],"category_scores_gemma":[0.05397989,0.0006284185,0.0006709101,0.0172568,0.01022133,0.003704195,0.008310975,0.002445682,0.0003545414],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1513808,"about_ca_system_score_gemma":0.3073298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9929795,"about_ca_topic_score_gemma":0.9918017,"domain_scores_codex":[0.9716548,0.004436519,0.002433997,0.002621171,0.01418771,0.004665893],"domain_scores_gemma":[0.9204871,0.01985326,0.004845618,0.002951175,0.03461587,0.01724702],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002593812,0.0001402267,0.2949894,0.0007577659,0.0001165576,0.0008203692,0.5202854,0.0004576073,0.001953058,0.01217266,0.01750756,0.1505399],"study_design_scores_gemma":[0.00002003536,0.00009635197,0.2340131,0.0007414369,0.00003768753,0.0002686153,0.6476853,0.0008930315,0.000704233,0.001354209,0.1139635,0.000222487],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9305802,0.004086496,0.001969569,0.03049442,0.0001597314,0.0002815046,0.002577662,0.0001640119,0.02968647],"genre_scores_gemma":[0.9858028,0.003611846,0.002135714,0.00239191,0.0000155979,0.00008711333,0.0008365118,0.0000631135,0.005055393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9971895,"threshold_uncertainty_score":0.984278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1218397741997478,"score_gpt":0.3540632347926352,"score_spread":0.2322234605928874,"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."}}