{"id":"W4310349104","doi":"","title":"Mnemonics to increase information gathering and lie detection in suspects inverviews: written, drawn, and reverse order recalls","year":2022,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Mnemonic; Computer science; Order (exchange); Information retrieval; Artificial intelligence; Psychology; Cognitive psychology","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":[0.001133614,0.0005864064,0.0002970902,0.0005869287,0.000258081,0.001118821,0.0005805403,0.0004842712,0.007821297],"category_scores_gemma":[0.02749392,0.0001965088,0.0001521721,0.0002064329,0.0003528377,0.001388544,0.0005232849,0.001291173,0.0009472774],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002314263,"about_ca_system_score_gemma":0.0003124537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007103769,"about_ca_topic_score_gemma":0.001248128,"domain_scores_codex":[0.9994167,0.0001700334,0.00004589927,0.0001426112,0.0001925595,0.00003230837],"domain_scores_gemma":[0.9913954,0.004632113,0.001548176,0.001134096,0.0008768775,0.0004132307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01036333,0.01163103,0.1207973,0.001186828,0.0002948436,0.000434725,0.01433465,0.002420522,0.07132363,0.005711469,0.01431626,0.7471855],"study_design_scores_gemma":[0.004353285,0.03278577,0.7521129,0.0008992719,0.001092196,0.002456614,0.01003203,0.04822745,0.07845077,0.03669008,0.03259816,0.0003015356],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982808,0.0002824949,0.007444211,0.0006164682,0.0001480058,0.0003828536,0.0003057059,0.0004343188,0.007578069],"genre_scores_gemma":[0.9797993,0.0002678758,0.0123362,0.0004176159,0.00009378725,0.0002191305,0.0003189059,0.00007170482,0.006475481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007821297,"threshold_uncertainty_score":0.02616483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554363837521613,"score_gpt":0.2620042852183423,"score_spread":0.2464606468431262,"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."}}