{"id":"W4244210830","doi":"10.1093/oxfordhb/9780190847388.013.25","title":"Content Analysis","year":2020,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Content analysis; Contextualization; Sample (material); Content (measure theory); Style (visual arts); Focus (optics); Relation (database); Qualitative research; Computer science; Psychology; Data science; Sociology; Social science; Data mining; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.02252885,0.001282542,0.001526036,0.01199035,0.004066065,0.008889704,0.003028399,0.001432087,0.1157479],"category_scores_gemma":[0.06621382,0.0006303281,0.001219175,0.01335482,0.002452904,0.006468651,0.005442103,0.002724882,0.04261021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00895716,"about_ca_system_score_gemma":0.01147719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002688254,"about_ca_topic_score_gemma":0.00199262,"domain_scores_codex":[0.9704366,0.01306156,0.00285459,0.004501082,0.008275941,0.0008701105],"domain_scores_gemma":[0.9458089,0.02171076,0.001956439,0.006279306,0.02338096,0.0008636879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003054624,0.0001864576,0.001454064,0.004096529,0.00005285368,0.0002161913,0.0386445,0.0009247259,0.002735721,0.09966587,0.2857785,0.5659391],"study_design_scores_gemma":[0.00003571592,0.00006502296,0.001198959,0.001835387,0.00002321738,0.00009485576,0.01217427,0.0007977741,0.001375568,0.01445513,0.967905,0.00003917729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02441706,0.003430481,0.1966564,0.01241152,0.005867548,0.04998827,0.04435966,0.003570961,0.6592981],"genre_scores_gemma":[0.1493329,0.007193772,0.2829724,0.0065557,0.002013067,0.06808179,0.05476923,0.00429245,0.4247888],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1157479,"threshold_uncertainty_score":0.3872152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3399446338168125,"score_gpt":0.3738637835566835,"score_spread":0.03391914973987098,"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."}}