{"id":"W4403807153","doi":"10.1111/lcrp.12299","title":"(MIS)measuring cognitive load and arousal in deception: A multitrait–multimethod analysis","year":2024,"lang":"en","type":"article","venue":"Legal and Criminological Psychology","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Deception; Arousal; Psychology; Cognition; Cognitive load; Human factors and ergonomics; Poison control; Cognitive psychology; Clinical psychology; Social psychology; Medical emergency; Medicine; Psychiatry","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":[0.01874307,0.0005097509,0.0006860439,0.002115271,0.0007002058,0.001904004,0.0007180254,0.0006659634,0.001552215],"category_scores_gemma":[0.03827278,0.0003341858,0.00112174,0.001676183,0.0005326858,0.0009514018,0.001684621,0.0007783003,0.0002322732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004472933,"about_ca_system_score_gemma":0.0006004749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001427403,"about_ca_topic_score_gemma":0.002308047,"domain_scores_codex":[0.990263,0.005907349,0.001119036,0.0009104759,0.001561126,0.0002391346],"domain_scores_gemma":[0.9585134,0.02239773,0.00699554,0.007678146,0.003846653,0.0005685446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003764448,0.000383444,0.9418206,0.0002680797,0.001849561,0.0000483287,0.001902043,0.001413253,0.001996706,0.0009938953,0.0004694702,0.04847814],"study_design_scores_gemma":[0.00004105156,0.0006115086,0.9833531,0.00009338423,0.0003935963,0.0001431839,0.0006142198,0.01029662,0.001504811,0.001834957,0.001072379,0.00004115096],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650573,0.0003839682,0.03140167,0.00009489978,0.00004053449,0.0004728478,0.0006545599,0.00004413737,0.001850167],"genre_scores_gemma":[0.989051,0.00007382316,0.009534772,0.00003844701,0.00002152381,0.0005511755,0.000408438,0.00001066324,0.0003101965],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01874307,"threshold_uncertainty_score":0.09912401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1040702474982326,"score_gpt":0.4083524107518429,"score_spread":0.3042821632536103,"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."}}