{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002780516,0.0001048526,0.0001851325,0.001813309,0.00007935028,0.00019086,0.0002712779,0.00006999534,0.0002465275],"category_scores_gemma":[0.0001800077,0.00008603466,0.00009451236,0.00179248,0.0006281377,0.001696381,0.00002498288,0.0003433677,0.0002690864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002294925,"about_ca_system_score_gemma":0.0001598406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000414338,"about_ca_topic_score_gemma":0.00001437178,"domain_scores_codex":[0.9983497,0.0001481765,0.0007170826,0.0001508046,0.0003904165,0.0002438812],"domain_scores_gemma":[0.9991302,0.00009475547,0.000255902,0.0001441037,0.0002624663,0.000112498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003568808,0.0001309955,0.002133358,0.00006122964,0.00006945754,0.0001483011,0.02576418,0.0002058775,0.01521164,0.092554,0.01713504,0.846229],"study_design_scores_gemma":[0.007621734,0.002657399,0.2096183,0.002103468,0.000165311,0.02054008,0.06312284,0.007347881,0.002605661,0.1806705,0.502058,0.001488942],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9309064,0.0005151254,0.01673883,0.003882562,0.01141954,0.0001111846,0.000001524835,0.00004197753,0.03638288],"genre_scores_gemma":[0.9986614,0.00007164208,0.0003026222,0.0005452973,0.0001427813,0.000003119642,0.000001110855,0.000006816926,0.0002652159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8447401,"threshold_uncertainty_score":0.3508391,"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."}}