{"id":"W4308752211","doi":"10.1002/bdm.2307","title":"Meta‐informational cue inconsistency and judgment of information accuracy: Spotlight on intelligence analysis","year":2022,"lang":"en","type":"article","venue":"Journal of Behavioral Decision Making","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Ontario; Government of Canada; Defence Research and Development Canada","funders":"","keywords":"Credibility; Reliability (semiconductor); Psychology; Computer science; Social psychology; Information quality; Quality (philosophy); Cognitive psychology; Natural language processing; Information system","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":[0.03897012,0.000692038,0.001143975,0.003938154,0.0009177445,0.005575242,0.001563716,0.001461616,0.002007718],"category_scores_gemma":[0.3240166,0.0008569566,0.0007723494,0.002385871,0.004435767,0.007837624,0.003350417,0.002859388,0.0001711665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001512032,"about_ca_system_score_gemma":0.001239554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002038261,"about_ca_topic_score_gemma":0.001120068,"domain_scores_codex":[0.9593492,0.02519073,0.001854138,0.002848717,0.01014359,0.0006135569],"domain_scores_gemma":[0.5374678,0.3667196,0.03636617,0.03690248,0.01991792,0.002626081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008853205,0.001283431,0.4764299,0.002136639,0.002570144,0.0004439777,0.0313784,0.01469694,0.03924933,0.07284793,0.002748813,0.3473613],"study_design_scores_gemma":[0.0004302639,0.002896408,0.6590626,0.0009376091,0.001424018,0.0009661384,0.009953573,0.08302068,0.03330317,0.2025114,0.004693738,0.0008003636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.93519,0.002119096,0.04746526,0.001693901,0.00007916035,0.0001104127,0.00009774774,0.0002047241,0.01303967],"genre_scores_gemma":[0.9942309,0.0001279856,0.005293416,0.0001020364,0.00003913215,0.00002502263,0.00002630696,0.00003782487,0.0001174141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03897012,"threshold_uncertainty_score":0.2060962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2553747945718307,"score_gpt":0.4526845200344707,"score_spread":0.1973097254626401,"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."}}