{"id":"W2766177670","doi":"10.1163/15700682-12341427","title":"Truth-Conditions and Religious Language: Introduction","year":2017,"lang":"en","type":"article","venue":"Method & Theory in the Study of Religion","topic":"Study and Philosophy of Religion","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Meaning (existential); Semantics (computer science); Grammar; Epistemology; Philosophy; Alethiology; Set (abstract data type); Linguistics; Logical truth; Truth value; Truth condition; Pragmatic theory of truth; Sociology; Coherence theory of truth; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001228007,0.0006847552,0.0005648917,0.002204939,0.001488885,0.003745321,0.0009253443,0.002182888,0.01949043],"category_scores_gemma":[0.003222268,0.0004437086,0.0006923064,0.001757965,0.006029114,0.006204611,0.002132802,0.003588221,0.002316399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003745912,"about_ca_system_score_gemma":0.001002564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003841887,"about_ca_topic_score_gemma":0.002630271,"domain_scores_codex":[0.9993511,0.0002823721,0.00003700424,0.0001483451,0.0001281777,0.00005291945],"domain_scores_gemma":[0.9978858,0.001482799,0.00008006331,0.00009320256,0.0003624065,0.0000957454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001185122,0.00002103526,0.0001061592,0.0001557404,0.000006082267,0.00005962684,0.0006668871,0.0003398068,0.0001777452,0.9538453,0.033546,0.01106384],"study_design_scores_gemma":[0.00001142705,0.00001701902,0.0004349041,0.000359191,0.000006081097,0.0001000194,0.000322084,0.0005104605,0.0001004927,0.712374,0.2857453,0.00001903191],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007735706,0.2688065,0.06544604,0.07565761,0.01512918,0.0001488327,0.001382328,0.0003139735,0.5653797],"genre_scores_gemma":[0.5303646,0.1665448,0.03654382,0.03626261,0.06633904,0.0007267838,0.002334359,0.000714093,0.16017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01949043,"threshold_uncertainty_score":0.06520194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02575596333593065,"score_gpt":0.323438356546195,"score_spread":0.2976823932102643,"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."}}