{"id":"W4404025026","doi":"10.22215/cujs.v3i1.4852","title":"Increasing Information Elicitation in Witness Interviews","year":2024,"lang":"en","type":"article","venue":"Carleton undergraduate journal of science.","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Witness; Psychology; Computer science; Linguistics; 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":[0.1216967,0.001277809,0.001273814,0.003001489,0.003273584,0.003019095,0.002630458,0.002467721,0.008134221],"category_scores_gemma":[0.3754872,0.001162296,0.0008417804,0.002037729,0.002274585,0.007046138,0.01090794,0.002132292,0.001798684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001503528,"about_ca_system_score_gemma":0.002620345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003516169,"about_ca_topic_score_gemma":0.0008839614,"domain_scores_codex":[0.7665122,0.1890731,0.01785629,0.007408043,0.015192,0.003958367],"domain_scores_gemma":[0.345338,0.5759155,0.01676179,0.0325935,0.02749488,0.00189633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.003818915,0.00113773,0.01381874,0.008634329,0.0001579177,0.002375261,0.420363,0.001394343,0.1711493,0.008152623,0.003717435,0.3652804],"study_design_scores_gemma":[0.002463527,0.0149645,0.05560273,0.01323778,0.001004612,0.007940895,0.3043107,0.01252277,0.2805915,0.03816656,0.2684884,0.0007059936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5725192,0.00240184,0.369908,0.003605573,0.0004453275,0.02765226,0.000577952,0.0009948454,0.02189508],"genre_scores_gemma":[0.5258445,0.002151177,0.4270948,0.001732347,0.0003853753,0.03975533,0.0004305343,0.000282943,0.002322881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216967,"threshold_uncertainty_score":0.6436014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02461234326550004,"score_gpt":0.3437188308374367,"score_spread":0.3191064875719367,"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."}}