{"id":"W2024695825","doi":"10.1007/s10664-011-9163-y","title":"Qualitative research in software engineering","year":2011,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Research","field":"Computer Science","cited_by":59,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Qualitative research; Phenomenon; Ethnography; Context (archaeology); Social phenomenon; Social research; Participant observation; Grounded theory; Knowledge management; Software; Data science; Management science; Sociology; Qualitative property; Computer science; Epistemology; Engineering ethics; Social science; Engineering","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":[0.0485217,0.0004756715,0.0006306662,0.0027378,0.006130615,0.005181123,0.001887609,0.00166067,0.01194573],"category_scores_gemma":[0.09610756,0.0005171886,0.000357796,0.002891757,0.01318526,0.005196655,0.004347318,0.002424273,0.001179745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009027703,"about_ca_system_score_gemma":0.01317618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006340111,"about_ca_topic_score_gemma":0.008989803,"domain_scores_codex":[0.9370529,0.05509393,0.0008564559,0.00112052,0.004826344,0.00104992],"domain_scores_gemma":[0.8056062,0.1701071,0.003462246,0.004528739,0.01366545,0.002630373],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001263124,0.0002979247,0.004650899,0.003453291,0.00002600863,0.000352608,0.3122786,0.0006564006,0.002013742,0.5894342,0.009687048,0.0770229],"study_design_scores_gemma":[0.0001377871,0.0002719958,0.004696746,0.005490239,0.00003226146,0.0005447264,0.4536624,0.001308046,0.003724989,0.3390623,0.1910088,0.00005974721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.217332,0.01362658,0.2947098,0.07199603,0.001554354,0.006025995,0.001853152,0.0002160922,0.392686],"genre_scores_gemma":[0.9140066,0.003314621,0.04306476,0.006139984,0.00009640473,0.004640802,0.0003011167,0.00009680623,0.02833891],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9514783,"threshold_uncertainty_score":0.2566103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1984236919286287,"score_gpt":0.4223873846295447,"score_spread":0.2239636927009161,"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."}}