{"id":"W3003514983","doi":"10.1371/journal.pone.0227402","title":"Characterization of near death experiences using text mining analyses: A preliminary study","year":2020,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Paranormal Experiences and Beliefs","field":"Psychology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Belgian Federal Science Policy Office; Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; European Commission; Fundação Bial; European Space Agency; Mind Science Foundation; Fonds De La Recherche Scientifique - FNRS; James S. McDonnell Foundation","keywords":"Narrative; Phenomenon; Perception; Identification (biology); Phenomenology (philosophy); Causality (physics); Empirical research; Psychology; Interpretation (philosophy); Paradise; Computer science; Cognitive psychology; Data science; Epistemology; History; Literature; Art; Ecology; Physics","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":[0.00361668,0.0003907562,0.0004258076,0.003319653,0.0008322253,0.001499714,0.0005992308,0.0005200184,0.001675332],"category_scores_gemma":[0.0133938,0.0002013283,0.0003051476,0.00206959,0.0008108094,0.001373378,0.001198948,0.0005683473,0.0004752935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004474438,"about_ca_system_score_gemma":0.0006198206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001110006,"about_ca_topic_score_gemma":0.002385572,"domain_scores_codex":[0.9981886,0.0009009254,0.0002669421,0.0002482041,0.0002633158,0.0001320629],"domain_scores_gemma":[0.9860022,0.009180151,0.001604251,0.0006460047,0.00208916,0.000478311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004700662,0.001088515,0.2274477,0.001700279,0.00004906983,0.002660549,0.6176428,0.0003116379,0.0247808,0.0009257163,0.001062829,0.12186],"study_design_scores_gemma":[0.0000278598,0.00101475,0.4710854,0.0005290576,0.00006320025,0.001939088,0.4969926,0.002186462,0.01083604,0.001059546,0.01418257,0.0000832976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943486,0.0001153871,0.003368568,0.00007726657,0.000006186837,0.0004987218,0.0007211841,0.00001348717,0.0008507388],"genre_scores_gemma":[0.9834669,0.0003359678,0.01183816,0.00008475159,0.00002853091,0.001680063,0.00135968,0.00002327879,0.001182716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00361668,"threshold_uncertainty_score":0.01912701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2685912053200863,"score_gpt":0.3818927098789338,"score_spread":0.1133015045588475,"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."}}