{"id":"W4225394229","doi":"10.3390/rel13050413","title":"Sparking Religious Conversion through AI?","year":2022,"lang":"en","type":"article","venue":"Religions","topic":"Neuroethics, Human Enhancement, Biomedical Innovations","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Volition (linguistics); Religious conversion; Process (computing); Moral disengagement; Cognition; Psychology; Environmental ethics; Social cognitive theory of morality; Social psychology; Epistemology; Law; Political science; Philosophy; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002091985,0.0001522799,0.0001526344,0.0001630605,0.001282811,0.00004936247,0.0005097002,0.0000514621,0.0006324892],"category_scores_gemma":[0.0006047717,0.0001666374,0.00008679485,0.001156383,0.0003006539,0.0001510904,0.0005452303,0.000829324,0.0003805095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001601188,"about_ca_system_score_gemma":0.0001109016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006732893,"about_ca_topic_score_gemma":0.000002228605,"domain_scores_codex":[0.9977533,0.0001917174,0.000354767,0.0005609352,0.0007365449,0.0004027161],"domain_scores_gemma":[0.9988292,0.0003861998,0.0001509968,0.0005010653,0.00004874434,0.00008374956],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002493812,0.0002486997,0.00008801987,0.00001988943,0.000007166289,0.0001484752,0.0009199744,0.0001609926,0.3516131,0.1289167,0.5176458,0.0002063503],"study_design_scores_gemma":[0.000428505,0.0001655457,0.00002491301,0.00001517571,0.00001355451,0.00007868146,0.0001163018,0.0002906839,0.1118547,0.04633774,0.8404319,0.0002422905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6555136,0.0007479265,0.02122731,0.1622774,0.01236714,0.002493888,0.0003757876,0.002908783,0.1420882],"genre_scores_gemma":[0.9639449,0.0005206526,0.0002394077,0.03348958,0.0001141425,0.00009195382,0.00001409783,0.00003295675,0.001552347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3227862,"threshold_uncertainty_score":0.9866477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06743947717839682,"score_gpt":0.328822083937551,"score_spread":0.2613826067591541,"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."}}