{"id":"W2177656103","doi":"","title":"Identification of Truth and Deception in Text: Application of Vector Space Model to Rhetorical Structure Theory","year":2012,"lang":"en","type":"article","venue":"","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Deception; Rhetorical question; Identification (biology); Complement (music); Coherence (philosophical gambling strategy); Computer science; Pragmatics; Artificial intelligence; Space (punctuation); Natural language processing; Linguistics; Epistemology; Self-deception; Psychology; Social psychology; Mathematics; Philosophy","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":[0.003699345,0.0005581755,0.0005478958,0.005648156,0.001017507,0.00390458,0.001007012,0.0009844538,0.002946327],"category_scores_gemma":[0.02269841,0.000303657,0.0008107974,0.00242804,0.003031888,0.005418883,0.001515895,0.001118993,0.0003505366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001966354,"about_ca_system_score_gemma":0.001071188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0023882,"about_ca_topic_score_gemma":0.001108939,"domain_scores_codex":[0.9962491,0.002396531,0.0001983414,0.0004245361,0.0006312631,0.0001002553],"domain_scores_gemma":[0.9807593,0.01564421,0.001669051,0.0007992751,0.0009326061,0.0001955136],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003311481,0.0001949919,0.02421492,0.0006120868,0.0001815214,0.0004330627,0.01825908,0.04592287,0.007043528,0.6580605,0.00192553,0.2428207],"study_design_scores_gemma":[0.00003265235,0.0001705892,0.00889823,0.0001441464,0.00004639711,0.0002561663,0.004732347,0.6036028,0.002625975,0.3748721,0.004564648,0.00005403564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1711804,0.0006271763,0.8186752,0.001278029,0.00004491234,0.0001986058,0.0002829445,0.000327378,0.00738549],"genre_scores_gemma":[0.8731514,0.000202549,0.1252737,0.00005811933,0.00004195894,0.0001927485,0.0002322265,0.00003605887,0.000811236],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005648156,"threshold_uncertainty_score":0.01956427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02106446987942143,"score_gpt":0.3357101699172008,"score_spread":0.3146457000377794,"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."}}