{"id":"W2273826813","doi":"10.7748/nr2009.04.16.3.70.c6947","title":"Rigour in qualitative research: mechanisms for control","year":2009,"lang":"en","type":"article","venue":"Nurse Researcher","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University; University of Calgary","funders":"","keywords":"Rigour; Qualitative research; Nursing research; Control (management); Computer science; Management science; Psychology; Engineering ethics; Computational biology; Epistemology; Medicine; Sociology; Nursing; Biology; Artificial intelligence; Engineering; Philosophy; Social science","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":["metaresearch"],"category_scores_codex":[0.8811992,0.003626228,0.007326443,0.01435606,0.01336526,0.02793465,0.01234475,0.01594548,0.00639534],"category_scores_gemma":[0.9213973,0.00618072,0.004692952,0.01238425,0.09624412,0.04510823,0.0298995,0.02057698,0.001142435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02786605,"about_ca_system_score_gemma":0.03973352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007222855,"about_ca_topic_score_gemma":0.003610067,"domain_scores_codex":[0.0487097,0.8487831,0.0361576,0.01874034,0.04444191,0.00316729],"domain_scores_gemma":[0.02242285,0.8409105,0.03806238,0.07117465,0.02593298,0.001496504],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0009616885,0.0002659932,0.01273254,0.01121087,0.001839387,0.0002861927,0.1311038,0.001157938,0.0005781191,0.7320448,0.008240554,0.0995781],"study_design_scores_gemma":[0.002192907,0.001052036,0.007356021,0.02651346,0.001159048,0.0005372731,0.02243877,0.009320688,0.002699979,0.8793231,0.04663457,0.0007720937],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02386088,0.01848784,0.7161841,0.1676498,0.006116772,0.0244026,0.0005387304,0.0009248645,0.0418344],"genre_scores_gemma":[0.5920556,0.003102197,0.2961497,0.02363183,0.001961563,0.08018991,0.0001822187,0.0003977328,0.002329228],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1188008,"threshold_uncertainty_score":0.2021833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7725949983468796,"score_gpt":0.7359392547724206,"score_spread":0.036655743574459,"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."}}