{"id":"W2954864495","doi":"10.1177/0030222819855890","title":"Transnational Migration and Digital Memorialization","year":2019,"lang":"en","type":"article","venue":"OMEGA - Journal of Death and Dying","topic":"Grief, Bereavement, and Mental Health","field":"Psychology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Memorialization; Sketch; Narrative; Autoethnography; Grief; Immigration; Media studies; Digital media; Social media; Visual arts; Sociology; History; Genealogy; Art; Political science; Gender studies; Psychology; Literature; Law; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.001610535,0.0002630376,0.0001649635,0.001197235,0.008361664,0.00576156,0.00062796,0.0006413956,0.008179186],"category_scores_gemma":[0.003842565,0.0001423775,0.0001753168,0.001662635,0.01392725,0.005417216,0.01055127,0.001497188,0.000416318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002373221,"about_ca_system_score_gemma":0.001739316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004766574,"about_ca_topic_score_gemma":0.01158061,"domain_scores_codex":[0.998419,0.0009754752,0.00005093883,0.0001202537,0.0001104211,0.0003238266],"domain_scores_gemma":[0.9984137,0.0005121673,0.0003705002,0.0002644502,0.0001366289,0.0003025856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00005251737,0.00005025553,0.009322898,0.0001409735,0.00001346375,0.001097305,0.7494698,0.0001289451,0.0003953446,0.2002715,0.003056939,0.0360002],"study_design_scores_gemma":[0.0000054979,0.00003166512,0.006561026,0.0001588759,0.000008747271,0.0006316002,0.8779771,0.00009875079,0.0002394381,0.01439674,0.09987614,0.00001429781],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7699066,0.001805006,0.002417515,0.006427046,0.0001847202,0.0000336796,0.00005220354,0.00003918779,0.219134],"genre_scores_gemma":[0.9930306,0.0004474611,0.0003247373,0.0001829737,0.00001724591,0.00001436658,0.00001866057,0.00001092652,0.005953034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008361664,"threshold_uncertainty_score":0.02736211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02470613640099496,"score_gpt":0.3083531334529272,"score_spread":0.2836469970519322,"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."}}