{"id":"W3031158659","doi":"10.1145/3334480.3381066","title":"Transparency in Qualitative Research: Increasing Fairness in the CHI Review Process","year":2020,"lang":"en","type":"article","venue":"","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Transparency (behavior); Workaround; Scrutiny; Qualitative research; Process (computing); Computer science; Work (physics); Process management; Public relations; Political science; Business; Sociology; Computer security; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04542487,0.00009264699,0.000266713,0.00007772791,0.0002504121,0.00005034542,0.0005235017,0.00005083159,0.0002457614],"category_scores_gemma":[0.009248981,0.00006001069,0.00004679475,0.002796051,0.000454602,0.0002573198,0.00001886019,0.0004781475,0.00002234427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000542132,"about_ca_system_score_gemma":0.0002033885,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01208354,"about_ca_topic_score_gemma":0.01246481,"domain_scores_codex":[0.9697447,0.02823814,0.0004181126,0.0003042194,0.0008742196,0.0004206104],"domain_scores_gemma":[0.9960725,0.003518702,0.00005243132,0.0001102386,0.0001555444,0.00009058927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002133745,0.00004714379,0.0008352374,0.0003656998,0.000002104501,0.000005993281,0.831152,7.474592e-7,0.000008312985,0.1623323,0.0002715751,0.004957552],"study_design_scores_gemma":[0.0002770471,0.00009839108,0.004308587,0.0009407823,0.000004629626,2.737315e-7,0.9304626,0.00003089325,0.00002112186,0.04934482,0.0143335,0.0001773621],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3097876,0.01798642,0.004591868,0.2781803,0.00007911666,0.002869652,0.00001219633,0.00008511707,0.3864076],"genre_scores_gemma":[0.9933137,0.001931868,0.001697362,0.002789083,0.0000713597,0.0001157818,0.000002115954,0.000007268809,0.00007143622],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6835261,"threshold_uncertainty_score":0.9990965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6840428643641143,"score_gpt":0.6713005307277847,"score_spread":0.01274233363632959,"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."}}