{"id":"W4280637930","doi":"10.31234/osf.io/2hg5q","title":"Meta-informational Cue Inconsistency and Judgment of Information Accuracy: Spotlight on Intelligence Analysis","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Canada; Defence Research and Development Canada","funders":"","keywords":"Credibility; Reliability (semiconductor); Psychology; Social psychology; Computer science; Information quality; Scale (ratio); Secrecy; Cognitive psychology; Information system; Computer security; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05115082,0.001018045,0.001754615,0.005096606,0.001089149,0.007022624,0.002117754,0.001969475,0.002412867],"category_scores_gemma":[0.3037686,0.001281717,0.001280439,0.00359467,0.007646127,0.01369602,0.005022432,0.005020107,0.0002827837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001748923,"about_ca_system_score_gemma":0.001822308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559797,"about_ca_topic_score_gemma":0.001461889,"domain_scores_codex":[0.9546849,0.02448273,0.002295031,0.004563564,0.013081,0.0008927801],"domain_scores_gemma":[0.6457685,0.2515977,0.03929465,0.04337591,0.01696978,0.002993551],"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":[0.005476738,0.0007736189,0.3475102,0.0024857,0.003189672,0.0006522587,0.04157608,0.01288492,0.03338671,0.1489266,0.00305741,0.4000801],"study_design_scores_gemma":[0.0004780966,0.002171274,0.4196542,0.001283339,0.001408707,0.001607033,0.008947479,0.05918991,0.02526407,0.4718972,0.007151855,0.0009469207],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8274165,0.009293067,0.1281455,0.007065866,0.0002309902,0.0002702401,0.0001953325,0.0004506685,0.02693176],"genre_scores_gemma":[0.9849331,0.0006015118,0.01345901,0.0003316498,0.0001319841,0.00005141861,0.00006494742,0.000109223,0.0003171504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05115082,"threshold_uncertainty_score":0.2705146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08723253939509264,"score_gpt":0.3567293398483959,"score_spread":0.2694968004533033,"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."}}