{"id":"W2918513183","doi":"10.1007/978-3-662-44680-5_8","title":"Correction to: Transactions on Rough Sets XVIII","year":2018,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina; University of Manitoba","funders":"","keywords":"Paragraph; Computer science; Information retrieval; Library science; Programming language; World Wide Web","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":[0.003912365,0.002864265,0.003724312,0.007594055,0.003403374,0.006999175,0.004244732,0.006596634,0.08747644],"category_scores_gemma":[0.05891451,0.001256866,0.002739856,0.005323149,0.002775359,0.003181231,0.002552403,0.01125594,0.06317517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005147194,"about_ca_system_score_gemma":0.004440839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01043615,"about_ca_topic_score_gemma":0.01093181,"domain_scores_codex":[0.9933909,0.0008711857,0.001089865,0.001018092,0.003021852,0.0006080997],"domain_scores_gemma":[0.9627506,0.004965632,0.001418022,0.003386691,0.02604357,0.001435507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002275454,0.000004001912,0.00004295156,0.0001364748,0.00001544374,0.0000674034,0.00001523778,0.00003770708,0.00002750476,0.00111837,0.9939364,0.004575598],"study_design_scores_gemma":[0.00002850436,0.00001689915,0.0005267183,0.0002157368,0.00003309974,0.000239648,0.00004995767,0.0002290096,0.0001546944,0.002532069,0.9959462,0.00002746769],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.00008903311,0.001905218,0.0007151631,0.03745918,0.9560537,0.00001822158,0.0006673661,0.000270464,0.00282166],"genre_scores_gemma":[0.01280839,0.01139244,0.003863827,0.06175863,0.6871568,0.0002222582,0.002384988,0.001771837,0.2186408],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.08747644,"threshold_uncertainty_score":0.2926378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955658117494078,"score_gpt":0.2507213720665002,"score_spread":0.2311647908915595,"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."}}