{"id":"W1924314351","doi":"10.1007/978-3-319-22849-5_11","title":"Quality Metrics for Linked Open Data","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Quality (philosophy); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01571701,0.001322286,0.001203516,0.009975504,0.0009770371,0.007435812,0.002009016,0.001603114,0.005029819],"category_scores_gemma":[0.06608807,0.0006425229,0.001170023,0.0131067,0.001605018,0.01087558,0.004080451,0.002617683,0.001440041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003489599,"about_ca_system_score_gemma":0.002154807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278837,"about_ca_topic_score_gemma":0.002239662,"domain_scores_codex":[0.9765315,0.005960499,0.002413152,0.001382091,0.01319546,0.0005172945],"domain_scores_gemma":[0.9709241,0.0133881,0.003178588,0.003784059,0.008051918,0.0006732648],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003151777,0.00004457188,0.00202222,0.0007412011,0.00008692074,0.00005512171,0.0004321961,0.008012353,0.0009814755,0.4859023,0.03952371,0.4621665],"study_design_scores_gemma":[0.00001118154,0.00007967394,0.00262129,0.001088795,0.00005852978,0.0003013756,0.0002954876,0.05279821,0.002987364,0.7586709,0.1810057,0.00008143573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004437258,0.01579685,0.9482907,0.003324603,0.001122697,0.0001855337,0.001462744,0.001461602,0.02391805],"genre_scores_gemma":[0.1451852,0.01586696,0.8087997,0.0007654913,0.001388226,0.0007066811,0.005657402,0.001546571,0.02008384],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.984283,"threshold_uncertainty_score":0.08312052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6007819523488969,"score_gpt":0.5116201951511121,"score_spread":0.08916175719778474,"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."}}