{"id":"W3199928492","doi":"10.1007/978-3-030-86982-3_9","title":"Conceptual Relevance Index for Identifying Actionable Formal Concepts","year":2021,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"HEC Montréal; Université du Québec en Outaouais","funders":"","keywords":"Computer science; Relevance (law); Index (typography); Formal methods; Formal description; Information retrieval; Software engineering; Programming language","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":[0.001894042,0.0005567943,0.0008768167,0.01039007,0.0007258101,0.002312439,0.0009048256,0.0007718116,0.004998418],"category_scores_gemma":[0.0108023,0.0001677047,0.0007970121,0.005262642,0.0008273066,0.003883233,0.001387966,0.0009986322,0.001176554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090184,"about_ca_system_score_gemma":0.00094663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008863773,"about_ca_topic_score_gemma":0.0007649296,"domain_scores_codex":[0.9979942,0.0002907442,0.0001735211,0.0003526839,0.00106959,0.0001192485],"domain_scores_gemma":[0.9963998,0.00189992,0.000299007,0.0003921641,0.0008096717,0.0001994161],"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":[0.0009848842,0.0004453496,0.01632156,0.001015013,0.0001911593,0.0003224652,0.0006693643,0.01445053,0.02272114,0.1607658,0.01358871,0.7685239],"study_design_scores_gemma":[0.0001410625,0.0009922266,0.03107734,0.0003682832,0.0006052983,0.001437003,0.001486616,0.5321789,0.02562979,0.3692479,0.0366137,0.0002217537],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1754556,0.004671878,0.7826828,0.0005226528,0.0003316558,0.0004278528,0.002985211,0.001899493,0.03102281],"genre_scores_gemma":[0.7101855,0.0008598452,0.2822357,0.00006793097,0.0001913288,0.0002577207,0.002722589,0.0001071334,0.003372242],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01039007,"threshold_uncertainty_score":0.01672137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03864498562993494,"score_gpt":0.2914611830790264,"score_spread":0.2528161974490915,"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."}}