{"id":"W2991578290","doi":"10.5703/1288284317144","title":"The Time Has Come... To Build, Reflect, and Analyze Connections Between Qualitative and Quantitative Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Computer science; Extant taxon; Transparency (behavior); Accountability; Process (computing); Process management; Qualitative property; Data science; Management science; Knowledge management; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"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":[],"category_scores_codex":[0.2920561,0.001372069,0.002120181,0.007218199,0.01107075,0.02126416,0.00394365,0.004414408,0.02069499],"category_scores_gemma":[0.3934115,0.001662391,0.001964354,0.005669943,0.0182563,0.02824183,0.01369505,0.01512982,0.007013197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01310009,"about_ca_system_score_gemma":0.04391436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01214268,"about_ca_topic_score_gemma":0.01136824,"domain_scores_codex":[0.7971244,0.1473431,0.009416981,0.00854688,0.03403042,0.003538208],"domain_scores_gemma":[0.4553391,0.3390128,0.01879738,0.05487492,0.1179801,0.0139958],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002423202,0.0004133047,0.008143228,0.004904683,0.0003744785,0.0003479794,0.1394775,0.001374775,0.004831955,0.2050958,0.1183401,0.5164539],"study_design_scores_gemma":[0.0001488789,0.0005428959,0.004458618,0.01049879,0.0001628299,0.0006617157,0.1251096,0.002857244,0.003199618,0.2228983,0.6289625,0.0004990212],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02568065,0.007878511,0.4289872,0.4670759,0.0131728,0.003626217,0.001559115,0.001636436,0.05038319],"genre_scores_gemma":[0.2016332,0.00482656,0.6881293,0.07320198,0.002383885,0.009974499,0.001042257,0.001647835,0.01716048],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2920561,"threshold_uncertainty_score":0.8730209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6070544362019351,"score_gpt":0.5467733598393073,"score_spread":0.06028107636262781,"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."}}