{"id":"W2131199134","doi":"10.1177/104973201129119424","title":"Exploring the Technical Aspects of “Fit” in Qualitative Research","year":2001,"lang":"en","type":"article","venue":"Qualitative Health Research","topic":"Qualitative Research Methods and Applications","field":"Social Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Process (computing); Qualitative research; Management science; Epistemology; Computer science; Psychology; Qualitative property; Data science; Sociology; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","research_integrity"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.3233162,0.0001799972,0.0005556386,0.001424571,0.003071409,0.0001188569,0.001339715,0.0001200453,0.0001988626],"category_scores_gemma":[0.03955779,0.0001394627,0.0001228942,0.01058798,0.0081814,0.0005248148,0.0003484959,0.003017028,0.0001757487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469674,"about_ca_system_score_gemma":0.003584936,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04347897,"about_ca_topic_score_gemma":0.02070352,"domain_scores_codex":[0.7989965,0.1893481,0.001382629,0.0008895748,0.006431484,0.002951678],"domain_scores_gemma":[0.8990875,0.09577459,0.0002154166,0.0007710058,0.003489865,0.0006615418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006886845,0.0002093405,0.00003267354,0.00005613252,0.00000815899,0.000003578332,0.4489734,0.000001025663,0.0001969055,0.5335398,0.001134922,0.01577521],"study_design_scores_gemma":[0.0002484866,0.000379235,0.001797173,0.0001571763,6.010197e-7,5.357202e-7,0.6770107,0.00001073613,0.0001037561,0.2693356,0.0508543,0.0001017199],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5104453,0.002490099,0.004050609,0.260271,0.0001429753,0.006288855,0.00008275434,0.0001197933,0.2161086],"genre_scores_gemma":[0.9836518,0.005349457,0.006429717,0.0001291221,0.0002331851,0.002426831,0.000006146509,0.00003660766,0.001737129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4732065,"threshold_uncertainty_score":0.9992831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9644870872775559,"score_gpt":0.8097505586037697,"score_spread":0.1547365286737863,"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."}}