{"id":"W4321378413","doi":"10.1016/j.cogsys.2023.02.004","title":"Information trust model","year":2023,"lang":"en","type":"article","venue":"Cognitive Systems Research","topic":"Access Control and Trust","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Normative; Computer science; Normative model of decision-making; Construct (python library); Perception; Trustworthiness; Social media; Knowledge management; Cognition; Value (mathematics); Internet privacy; Data science; Psychology; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003970428,0.00006133702,0.0001142831,0.0004216855,0.001101655,0.0003996714,0.0002499496,0.000100322,0.00005772366],"category_scores_gemma":[0.002079919,0.00005585406,0.00003663412,0.001352202,0.0003184314,0.0009285453,0.0000972956,0.0002453336,0.005067105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009353513,"about_ca_system_score_gemma":0.0003774819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002589919,"about_ca_topic_score_gemma":0.0001287053,"domain_scores_codex":[0.9974363,0.0005330818,0.0001823472,0.0001110337,0.001169952,0.0005672223],"domain_scores_gemma":[0.9979045,0.000533754,0.00003898469,0.00009351154,0.001278897,0.0001502906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000238583,0.00009879783,0.01657213,0.0003469264,0.0001566005,0.00004741754,0.1199464,0.0009602167,0.0001246588,0.5928755,0.08905007,0.1795827],"study_design_scores_gemma":[0.002512926,0.0001354127,0.01890249,0.0004146272,0.00002301913,0.000002096785,0.4707122,0.2539153,0.00006251395,0.01190932,0.2407874,0.0006227351],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1297187,0.0001524765,0.002389317,0.00104578,0.0003884983,0.00124276,0.00007832871,0.0003330285,0.8646511],"genre_scores_gemma":[0.982678,0.00009820819,0.000002148963,0.00002948633,0.0002842767,0.0002431637,0.00003284145,0.000006758349,0.01662514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8529593,"threshold_uncertainty_score":0.9957076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2106862731402362,"score_gpt":0.4783608063091872,"score_spread":0.2676745331689511,"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."}}