{"id":"W3111622972","doi":"10.1093/geroni/igaa057.136","title":"Qualitative Interview Analysis: Unpacking Packed Interviews","year":2020,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Unpacking; Construct (python library); Narrative; Qualitative research; Sociology; Qualitative analysis; Value (mathematics); Social worlds; Psychology; Social science; Computer science; Art","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":[0.08833332,0.001107435,0.001042442,0.006460309,0.006815493,0.008078501,0.002754236,0.001882435,0.007488562],"category_scores_gemma":[0.1083898,0.001159744,0.0006564851,0.009057258,0.01062796,0.0109773,0.007388252,0.002708405,0.001796579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007538436,"about_ca_system_score_gemma":0.008821697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00515431,"about_ca_topic_score_gemma":0.007140602,"domain_scores_codex":[0.9138225,0.0746932,0.003019349,0.002687207,0.003917527,0.001860127],"domain_scores_gemma":[0.830877,0.144346,0.004895007,0.007095415,0.01121974,0.001566903],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001142109,0.00006651276,0.001076771,0.0008891402,0.00001209715,0.0003171556,0.9114848,0.000601826,0.00226476,0.0289751,0.002886475,0.05131102],"study_design_scores_gemma":[0.00003897904,0.0001349312,0.002100543,0.002779507,0.0000229243,0.0002886218,0.8297966,0.003574471,0.002804838,0.05318183,0.1052037,0.00007300489],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2519827,0.00250246,0.6404123,0.0113231,0.001000103,0.02124975,0.004122169,0.0007214785,0.06668587],"genre_scores_gemma":[0.5479095,0.001746103,0.4101271,0.001576993,0.0001848034,0.02537015,0.001432961,0.0004682937,0.01118417],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9116667,"threshold_uncertainty_score":0.4671568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5116556258638671,"score_gpt":0.5351539840732823,"score_spread":0.02349835820941515,"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."}}