{"id":"W3023341806","doi":"","title":"Qualitative research with NVIVO : between opportunities to explore and risks to be in distress","year":2009,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Qualitative research; Distress; Psychology; Computer science; Data science; Knowledge management; Psychotherapist; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1193794,0.000936129,0.001179515,0.003305104,0.009881777,0.01247288,0.002632465,0.002624819,0.005682372],"category_scores_gemma":[0.1642588,0.001104797,0.0008834705,0.004881427,0.02628765,0.01155232,0.01561255,0.005133081,0.0007514199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007235448,"about_ca_system_score_gemma":0.01184486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003268327,"about_ca_topic_score_gemma":0.004905171,"domain_scores_codex":[0.8295123,0.1544762,0.002461341,0.003766098,0.007424974,0.002359092],"domain_scores_gemma":[0.7966563,0.180748,0.005845297,0.00703162,0.007044294,0.002674391],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001071514,0.00004639984,0.001716254,0.0007858573,0.00002717318,0.000367217,0.9019585,0.0003320306,0.0009082842,0.05816099,0.003922818,0.03166731],"study_design_scores_gemma":[0.00005103492,0.00007097047,0.001331875,0.001798623,0.00002073495,0.0005422168,0.8131717,0.001191209,0.00120548,0.08520918,0.09533083,0.00007607386],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2918427,0.005820358,0.5304022,0.05484076,0.001735876,0.009078871,0.001455765,0.0006298276,0.1041936],"genre_scores_gemma":[0.8340842,0.002237572,0.1299769,0.006273248,0.0002007333,0.01449081,0.0003252035,0.0004562299,0.01195513],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8806206,"threshold_uncertainty_score":0.6313463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2507993609201226,"score_gpt":0.4180702813687978,"score_spread":0.1672709204486752,"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."}}