{"id":"W2810964911","doi":"10.1007/978-3-319-95276-5_9","title":"Towards a Computational Model of Information Trust","year":2018,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Access Control and Trust","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Normative; Normative model of decision-making; Computer science; Trustworthiness; Construct (python library); Social media; Value (mathematics); Element (criminal law); Knowledge management; Internet privacy; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002096641,0.0005026099,0.000679864,0.00109779,0.001097624,0.004479849,0.002030764,0.00206651,0.006212855],"category_scores_gemma":[0.01110713,0.0006246688,0.001037323,0.00157567,0.003640538,0.009094052,0.002269607,0.003558052,0.0008577348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002153598,"about_ca_system_score_gemma":0.00148508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003140214,"about_ca_topic_score_gemma":0.002290325,"domain_scores_codex":[0.9985296,0.0007803653,0.00009103929,0.0001713177,0.0003358471,0.00009186943],"domain_scores_gemma":[0.9945262,0.003876675,0.0002957542,0.0006592648,0.0004665187,0.000175541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003740331,0.000008691728,0.0001010609,0.00001581096,0.00000634426,0.00001888682,0.0001036069,0.01013499,0.00007194885,0.9858066,0.0007310457,0.002997221],"study_design_scores_gemma":[0.000003534939,0.000003927472,0.00004461473,0.00001314912,0.000005630154,0.00002515646,0.00004211922,0.126233,0.00007311155,0.8709505,0.002599507,0.000005806261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01203902,0.0004587722,0.9483251,0.004907876,0.0001421769,0.00004327263,0.0001684993,0.0001621804,0.03375312],"genre_scores_gemma":[0.7038028,0.001279932,0.2759643,0.0006481091,0.0004049711,0.0003303289,0.0003590217,0.0001433419,0.01706712],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006212855,"threshold_uncertainty_score":0.02078408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340700025818083,"score_gpt":0.2902505679217195,"score_spread":0.2768435676635387,"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."}}