{"id":"W4399589717","doi":"10.1016/j.jmir.2024.101435","title":"Lying for a living","year":2024,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Climate Change and Geoengineering","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"MEG-3 (Canada)","funders":"","keywords":"Lying; Psychology; Medicine; Radiology","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":[0.00172842,0.00003343664,0.00005643896,0.00006242809,0.00009384967,0.0001212819,0.0001012125,0.00001446699,0.0002456194],"category_scores_gemma":[0.0004400136,0.00002229685,0.00002873246,0.0001518697,0.0001087586,0.0003268786,0.00003038643,0.00006782899,0.00000413347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002024751,"about_ca_system_score_gemma":0.00001911232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009225866,"about_ca_topic_score_gemma":0.000001659177,"domain_scores_codex":[0.9992591,0.000009526519,0.000138843,0.00007395408,0.0004199749,0.00009866394],"domain_scores_gemma":[0.9994834,0.0003700499,0.00003605427,0.00001618933,0.000004804062,0.00008948168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001487037,0.00001289842,0.01674965,0.00004580872,0.000007082586,0.00002601696,0.002676722,0.0005955221,0.001066272,0.0002523686,0.01789657,0.9606696],"study_design_scores_gemma":[0.0001581088,0.00005966793,0.01287847,0.0005477822,0.00002001132,0.0004449112,0.002530617,0.8703968,0.0001038446,0.0009370259,0.1118114,0.0001113726],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8465998,0.02571486,0.07091378,0.0519742,0.003162237,0.0001009436,0.000002059407,0.00004663982,0.001485521],"genre_scores_gemma":[0.9973091,0.00119411,0.0008192214,0.0002741803,0.0003662393,9.685951e-7,8.524683e-8,0.000002580379,0.00003345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9605582,"threshold_uncertainty_score":0.268936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0232330400480926,"score_gpt":0.3185711820913103,"score_spread":0.2953381420432177,"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."}}