{"id":"W4398250858","doi":"10.31234/osf.io/m8yxb","title":"The Effect of Source Reliability and Information Credibility on Judgments of Information Quality in Intelligence Analysis","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Credibility; Reliability (semiconductor); Information quality; Intelligence analysis; Quality (philosophy); Source credibility; Psychology; Computer science; Information source (mathematics); Data science; Information retrieval; Statistics; Information system; Political science; Mathematics; Computer security; Epistemology","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":[0.03888921,0.0004206217,0.0005157141,0.002116956,0.0007069157,0.002644343,0.0005779634,0.001035033,0.001889102],"category_scores_gemma":[0.3373324,0.0005093655,0.0006632623,0.0009578897,0.002820413,0.002873509,0.00227752,0.001622899,0.0001895614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008311903,"about_ca_system_score_gemma":0.0006366828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001955094,"about_ca_topic_score_gemma":0.002003251,"domain_scores_codex":[0.968084,0.0213352,0.001626633,0.002096337,0.00627898,0.0005788258],"domain_scores_gemma":[0.2978559,0.6451528,0.02722094,0.01550432,0.01110963,0.00315635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009403401,0.001390381,0.8129426,0.0007492813,0.001440258,0.0004680628,0.04064612,0.004644418,0.02123658,0.004179769,0.0009047074,0.1019945],"study_design_scores_gemma":[0.0002177811,0.00230845,0.9700028,0.0002567545,0.0004344224,0.0004158481,0.004245337,0.009041385,0.006637184,0.005442906,0.0008089197,0.0001881662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933292,0.0002508358,0.001814562,0.0001201761,0.00001455701,0.00004105501,0.00002809905,0.00001555244,0.004386059],"genre_scores_gemma":[0.9986951,0.0000541025,0.001040073,0.00002333233,0.00001111934,0.00001582095,0.00002126141,0.00001064427,0.0001285438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03888921,"threshold_uncertainty_score":0.2056683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216962305120468,"score_gpt":0.3644543258798062,"score_spread":0.3427580953677594,"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."}}