{"id":"W2006497387","doi":"10.4018/jskd.2012070101","title":"Creating Qualitative Interview Protocols","year":2012,"lang":"en","type":"article","venue":"International Journal of Sociotechnology and Knowledge Development","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"","keywords":"Documentation; Protocol (science); Consistency (knowledge bases); Flexibility (engineering); Narrative; Qualitative research; Exploratory research; Participant observation; Interview; Data collection; Computer science; Closed-ended question; Knowledge management; Data science; Psychology; Sociology; Medicine; Epistemology; Management; Artificial intelligence; Social science; Linguistics","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":[0.1700919,0.002018871,0.001772152,0.007650579,0.007850427,0.007323225,0.006922033,0.004387805,0.05537916],"category_scores_gemma":[0.1912201,0.002681239,0.001505421,0.008659395,0.00570475,0.006352244,0.01129595,0.007930255,0.02038747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007512274,"about_ca_system_score_gemma":0.0258084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595641,"about_ca_topic_score_gemma":0.003098919,"domain_scores_codex":[0.8093627,0.1506169,0.01379873,0.008237032,0.01435714,0.003627586],"domain_scores_gemma":[0.784769,0.1252726,0.008486969,0.03438531,0.04314546,0.003940699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006898636,0.0007355892,0.001132783,0.006447694,0.00005762641,0.001570889,0.38322,0.003872503,0.007841884,0.1331506,0.08946903,0.3718116],"study_design_scores_gemma":[0.0004719032,0.0004077494,0.0006763248,0.003229395,0.00002839601,0.0004617076,0.08320611,0.002214826,0.003700891,0.051631,0.8537982,0.0001735437],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01916453,0.000910087,0.5771638,0.004408393,0.001937348,0.3270521,0.009044266,0.001498503,0.05882107],"genre_scores_gemma":[0.01863877,0.0008558965,0.598056,0.001417703,0.0001713394,0.36606,0.003145897,0.0003672471,0.01128712],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1700919,"threshold_uncertainty_score":0.8995427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0674720191417747,"score_gpt":0.3667496086433354,"score_spread":0.2992775895015607,"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."}}