{"id":"W2863783044","doi":"10.1177/1609406918786335","title":"Improving Qualitative Research Findings Presentations","year":2018,"lang":"en","type":"article","venue":"International Journal of Qualitative Methods","topic":"Discourse Analysis in Language Studies","field":"Arts and Humanities","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Qualitative research; Relevance (law); Scholarship; Qualitative analysis; Expression (computer science); Psychology; Quality (philosophy); Sociology; Epistemology; Computer science; Social science; Political 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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.02232464,0.0001482272,0.0003274421,0.0006814733,0.0004313334,0.0003419362,0.0007167484,0.00003274093,0.002712192],"category_scores_gemma":[0.008405597,0.000114801,0.0002409476,0.0001688022,0.002191963,0.0007717277,0.0001740075,0.0004217047,0.00008500272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001270791,"about_ca_system_score_gemma":0.0001249416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003948536,"about_ca_topic_score_gemma":0.0002478827,"domain_scores_codex":[0.9904025,0.007025464,0.0008374776,0.0001986537,0.001269952,0.0002659625],"domain_scores_gemma":[0.9849362,0.006114875,0.0005395506,0.000145048,0.008184103,0.00008020892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000692734,0.00007240719,0.000009341574,0.000005217345,0.0007439916,0.00001145808,0.6828821,0.00000108052,0.0008188297,0.2975373,0.008081111,0.009767943],"study_design_scores_gemma":[0.0003896371,0.0003222399,0.00003419503,0.0000638721,0.00006562715,0.000009021185,0.856137,0.00005934036,0.002924817,0.08494635,0.0549096,0.0001382544],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1855332,0.001997469,0.4311922,0.01675127,0.009978307,0.0004142906,0.0001941529,0.00006685443,0.3538722],"genre_scores_gemma":[0.8252507,0.00003231809,0.1577126,0.0003436391,0.005154622,0.00001808507,0.000008597647,0.00003237171,0.01144711],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6397174,"threshold_uncertainty_score":0.999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7119166153847476,"score_gpt":0.7037169550592195,"score_spread":0.008199660325528102,"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."}}