{"id":"W4365514697","doi":"10.1558/ijsll.25804","title":"Editorial","year":2023,"lang":"en","type":"editorial","venue":"International Journal of Speech Language and the Law","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001227434,0.0001700266,0.0003618168,0.0001918105,0.00005172775,0.0001202024,0.0006819728,0.00051909,0.001066527],"category_scores_gemma":[0.0006217594,0.0001079643,0.0002485266,0.00008168452,0.0003876516,0.00007650839,0.0000930741,0.001143642,0.0004807168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004205335,"about_ca_system_score_gemma":0.00004544488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003534641,"about_ca_topic_score_gemma":0.0000975634,"domain_scores_codex":[0.9979379,0.0001647723,0.0005402327,0.0001777163,0.001011685,0.0001676612],"domain_scores_gemma":[0.9971954,0.001243052,0.000618018,0.0002122159,0.0006602991,0.00007100782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00129846,0.00002587171,4.632392e-7,0.000002542206,0.0006419832,0.000345914,0.001703562,2.059937e-7,0.00001038771,0.008005792,0.9731255,0.01483927],"study_design_scores_gemma":[0.004161881,0.00009016216,0.000003731334,0.00004464547,0.00006994866,0.0001959175,0.0009017775,5.295925e-7,0.000009065087,0.003045142,0.9913744,0.0001027933],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.000176464,0.0004955484,0.00003370813,0.00127947,0.9736861,0.00006308379,0.00008240018,0.00003127828,0.02415196],"genre_scores_gemma":[0.0008705842,0.0003062483,0.0000306867,0.0002896684,0.9873984,0.000005000479,0.00003349656,0.00003427086,0.01103167],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01824886,"threshold_uncertainty_score":0.9998466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00848531403297993,"score_gpt":0.3374465190974658,"score_spread":0.3289612050644859,"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."}}