{"id":"W1768532251","doi":"10.1007/978-3-540-25956-5_26","title":"Uncertainty in Knowledge Provenance","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Access Control and Trust","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Provenance; Computer science; Information retrieval; Data science; Knowledge management; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001077674,0.0003168479,0.0004306213,0.0004742055,0.0003658459,0.0002504736,0.001539435,0.0003616341,0.0001027422],"category_scores_gemma":[0.0002121202,0.0002855087,0.00009477533,0.000622234,0.001692869,0.0003621458,0.0003039396,0.0007358119,0.00006711149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009949633,"about_ca_system_score_gemma":0.002273424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615318,"about_ca_topic_score_gemma":0.01972355,"domain_scores_codex":[0.9973111,0.00004634145,0.0003650587,0.0009050806,0.0006624284,0.0007100569],"domain_scores_gemma":[0.9987742,0.000321802,0.0001735313,0.0004159318,0.0001739791,0.0001405054],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001098091,0.00004755868,0.0003320937,0.00002873031,0.000004404187,0.00006614485,0.006346943,0.02220344,0.000006020598,0.2104187,0.000009537936,0.7605254],"study_design_scores_gemma":[0.0008333805,0.00009499085,0.001049314,0.001075641,0.000009228913,0.000003736185,0.000003470683,0.01176727,0.00003874128,0.9549347,0.02928794,0.0009016342],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0007715657,0.004574442,0.4747896,0.005144259,0.005137019,0.00203417,0.00001657484,0.0002772049,0.5072552],"genre_scores_gemma":[0.9925306,0.0001500498,0.004302854,0.0005811996,0.0009404433,0.00001659621,0.000002376922,0.00002294136,0.001452958],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.991759,"threshold_uncertainty_score":0.9999597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793555140504422,"score_gpt":0.2871314806773719,"score_spread":0.2691959292723277,"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."}}