{"id":"W2989293188","doi":"10.1177/0193945919881706","title":"Qualitative Data Management and Analysis within a Data Repository","year":2019,"lang":"en","type":"article","venue":"Western Journal of Nursing Research","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Alberta; University of Victoria","funders":"Canadian Institutes of Health Research","keywords":"Data management; Data sharing; Data collection; Computer science; Qualitative property; Information repository; Qualitative research; Data science; Data management plan; Negotiation; Knowledge management; Database; Computer data storage; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2590211,0.001183031,0.00218795,0.01250464,0.008404716,0.01575542,0.006821086,0.00248529,0.02466048],"category_scores_gemma":[0.2607233,0.002404893,0.001975811,0.02193482,0.006180365,0.02003209,0.0166348,0.004742116,0.007517818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006841234,"about_ca_system_score_gemma":0.03432327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001947661,"about_ca_topic_score_gemma":0.002773422,"domain_scores_codex":[0.823104,0.1251809,0.02557914,0.009770188,0.01336322,0.003002575],"domain_scores_gemma":[0.5049415,0.2424951,0.02427112,0.1598198,0.05685924,0.0116133],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009835029,0.001419349,0.0136481,0.004816193,0.0002611609,0.001189665,0.2172751,0.00265714,0.00563861,0.1482501,0.08894018,0.5149209],"study_design_scores_gemma":[0.0008270418,0.000825129,0.008784681,0.006495576,0.0001954521,0.0007578513,0.09600952,0.01017,0.01131175,0.09936769,0.764674,0.0005812923],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05269213,0.0009982712,0.7906278,0.02162686,0.002195741,0.05355983,0.02008255,0.0085083,0.04970843],"genre_scores_gemma":[0.08137235,0.0006183311,0.8271039,0.001279264,0.0003448055,0.071714,0.006010712,0.001754364,0.009802219],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7409789,"threshold_uncertainty_score":0.9137589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3725708222379122,"score_gpt":0.58069107271515,"score_spread":0.2081202504772378,"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."}}