{"id":"W2913115917","doi":"10.4324/9781315098753-2","title":"History of secondary qualitative data analysis","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Data Analysis and Archiving","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qualitative analysis; Computer science; Qualitative research; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001639888,0.0001400979,0.0006248238,0.0003938866,0.00005928408,0.00001708761,0.001107726,0.0001182065,0.02964541],"category_scores_gemma":[0.00009802797,0.0001277312,0.0003123548,0.00007616909,0.0004137473,0.0002605246,0.0003877954,0.0001970889,0.0001950497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744861,"about_ca_system_score_gemma":0.001123554,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004526339,"about_ca_topic_score_gemma":0.01946885,"domain_scores_codex":[0.9983611,0.0001469676,0.0003740413,0.0004597563,0.0005128167,0.000145347],"domain_scores_gemma":[0.9978079,0.0004486337,0.0004128785,0.001179445,0.00008087102,0.00007030051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002513474,0.00000952119,0.00002107783,0.00002380774,0.002281604,0.000001498791,0.02476334,8.816905e-7,0.000002669491,0.8240169,0.1403034,0.008572875],"study_design_scores_gemma":[0.00003019504,0.000006792386,0.00001944392,0.00001965932,0.001311223,1.551792e-8,0.003900846,0.00005618304,1.145128e-7,0.004843639,0.989644,0.0001678728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000004186467,0.0009450564,0.0008063077,0.00011807,0.0001545821,0.00007146245,0.001040034,0.00001769866,0.9968426],"genre_scores_gemma":[0.0009799483,0.0004218545,0.0007974096,0.0001131839,0.00009461215,3.383635e-7,0.002001847,0.00001238842,0.9955784],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8493407,"threshold_uncertainty_score":0.9984233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1412667606786298,"score_gpt":0.3866743948220406,"score_spread":0.2454076341434109,"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."}}