{"id":"W2941552938","doi":"10.1371/journal.pone.0200883","title":"\"Someone told me\": Preemptive reputation protection in communication","year":2019,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Consiglio Nazionale delle Ricerche","keywords":"Internet privacy; Computer security; Business; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008294135,0.000390087,0.0001997988,0.0007464735,0.004037845,0.004387828,0.0006807356,0.002771086,0.004068803],"category_scores_gemma":[0.034722,0.0004008548,0.0002437006,0.0004500455,0.008813021,0.006074605,0.003611803,0.002899201,0.0006587596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155311,"about_ca_system_score_gemma":0.001356171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002609385,"about_ca_topic_score_gemma":0.002571676,"domain_scores_codex":[0.9885922,0.008766608,0.000274343,0.0006843625,0.001160286,0.0005221633],"domain_scores_gemma":[0.97719,0.01362846,0.005225001,0.002120994,0.001078429,0.000757097],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0005150249,0.0001932254,0.03035111,0.0003926834,0.00006234779,0.003187549,0.7383114,0.0004070153,0.008002997,0.1540687,0.004376465,0.06013137],"study_design_scores_gemma":[0.0001917816,0.0009119632,0.1452067,0.001867274,0.0003257823,0.02078786,0.4819658,0.006727692,0.0129714,0.1616309,0.1669426,0.0004702481],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8007304,0.001949277,0.02886881,0.01621877,0.0002918315,0.0001035446,0.00006863361,0.0001394517,0.1516293],"genre_scores_gemma":[0.9950205,0.0001952409,0.001760246,0.0008576764,0.00004015061,0.00001901998,0.00001341914,0.00001537479,0.002078431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008294135,"threshold_uncertainty_score":0.04386413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07501059463550737,"score_gpt":0.300523198073588,"score_spread":0.2255126034380807,"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."}}