{"id":"W4417451357","doi":"10.18357/anthropologica67220252703","title":"Good and Bad Deaths, or Dying as a Temporal Sequence","year":2025,"lang":"en","type":"article","venue":"Anthropologica","topic":"Grief, Bereavement, and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Concordance; Time of death; Sequence (biology); Good death; Time perception; Time sequence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.004841385,0.0002782195,0.000206883,0.001546847,0.004587074,0.003834982,0.0005781372,0.0008551214,0.003443545],"category_scores_gemma":[0.01050221,0.0001641376,0.000270158,0.001280733,0.01472976,0.0102159,0.005581862,0.002286638,0.0002372088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002796985,"about_ca_system_score_gemma":0.002904391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006312564,"about_ca_topic_score_gemma":0.01348558,"domain_scores_codex":[0.9969483,0.002130903,0.0001303687,0.0001889545,0.000356554,0.000244934],"domain_scores_gemma":[0.9953209,0.00242791,0.001025975,0.0003224276,0.0004459629,0.0004568252],"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":[0.0001496376,0.0000192734,0.005586799,0.000161653,0.000009342555,0.0003096328,0.2646541,0.0002746107,0.0004459054,0.7053858,0.002184062,0.0208192],"study_design_scores_gemma":[0.00003467112,0.0001303,0.01177738,0.0009121247,0.00003250094,0.001237229,0.4661756,0.0005556517,0.000733384,0.3054666,0.2128468,0.0000978128],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5169671,0.01746395,0.06337527,0.04298311,0.002183435,0.0002175833,0.000648095,0.0001447517,0.3560167],"genre_scores_gemma":[0.9857997,0.00203556,0.005778279,0.001103299,0.0001165868,0.00005498093,0.00009246997,0.00002282649,0.004996291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006312564,"threshold_uncertainty_score":0.02560401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07631324751213733,"score_gpt":0.4348923339861793,"score_spread":0.3585790864740419,"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."}}