{"id":"W2912911520","doi":"10.1177/1077800418806599","title":"Situating Ethics in Online Mourning Research: A Scoping Review of Empirical Studies","year":2019,"lang":"en","type":"review","venue":"Qualitative Inquiry","topic":"Focus Groups and Qualitative Methods","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Université de Montréal","funders":"","keywords":"Sociology; Context (archaeology); Empirical research; Performative utterance; Social media; Research ethics; Relation (database); Public relations; Engineering ethics; Epistemology; Political science; Law; Computer 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","metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1448759,0.0004997877,0.004785501,0.0008444469,0.0005244372,0.00004283938,0.0007948066,0.0006758003,0.00008666056],"category_scores_gemma":[0.1703802,0.0004072387,0.0006682602,0.003438388,0.003523727,0.0002764023,0.0004426727,0.003861511,0.00006471765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008188497,"about_ca_system_score_gemma":0.004256145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004482108,"about_ca_topic_score_gemma":0.0008501531,"domain_scores_codex":[0.8700042,0.1229913,0.002922427,0.0008897111,0.002255786,0.0009365924],"domain_scores_gemma":[0.8772261,0.1185561,0.001618974,0.0004904008,0.00195671,0.0001518202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000002868313,0.00005899471,0.000001362222,0.3332058,0.00009503451,0.00000495939,0.4820912,1.937928e-7,7.845551e-8,0.007576455,0.0003827811,0.1765802],"study_design_scores_gemma":[0.00007727108,0.0001000494,3.048835e-7,0.539537,0.00009319137,4.03211e-7,0.3131519,4.418768e-7,1.096068e-7,0.001949804,0.1448311,0.0002583836],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00002203391,0.9935439,0.0003273464,0.001431589,0.0005774648,0.002726546,0.00005225417,0.00003389822,0.001284959],"genre_scores_gemma":[0.000001593775,0.9851536,0.01315656,0.0004240516,0.000509028,0.000227065,0.00004909976,0.00006281523,0.0004161412],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.2063312,"threshold_uncertainty_score":0.9998379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9687688704303841,"score_gpt":0.8167911176812904,"score_spread":0.1519777527490936,"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."}}