{"id":"W4392368494","doi":"10.1016/j.asoc.2024.111448","title":"A three-way confirmatory approach to formal concept analysis in classification","year":2024,"lang":"en","type":"article","venue":"Applied Soft Computing","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Computer science; Artificial intelligence; Machine learning; Formal concept analysis; Field (mathematics); Bayesian probability; Mathematics; Algorithm","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":[],"consensus_categories":[],"category_scores_codex":[0.0006042654,0.0001723184,0.0002738578,0.0004082984,0.0001419453,0.0003885539,0.0006957614,0.0000832103,0.000003705412],"category_scores_gemma":[0.00000868944,0.0001574301,0.0001003363,0.00232473,0.00003715219,0.0002129632,0.0003275215,0.000236437,0.00007731574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007620261,"about_ca_system_score_gemma":0.00005244869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000344854,"about_ca_topic_score_gemma":0.00001176734,"domain_scores_codex":[0.9982475,0.00002502025,0.0003774394,0.0006392258,0.000269112,0.0004417016],"domain_scores_gemma":[0.9992024,0.0001555392,0.0000601401,0.0004511345,0.00002693339,0.0001038448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000419351,0.00007212254,0.0006896226,0.00003822776,0.0001118432,0.000009428349,0.005706746,0.03610962,0.0001877701,0.668941,0.0005921997,0.2875373],"study_design_scores_gemma":[0.0001284801,0.00001299694,0.01372092,0.00001221768,0.00002324868,0.000003607963,0.0001772834,0.9823838,0.00002616091,0.002066723,0.001233536,0.0002109701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0123068,0.0001656458,0.9622948,0.0001979457,0.0001654497,0.0002849875,0.000001429525,0.0003891214,0.02419386],"genre_scores_gemma":[0.8888624,7.688241e-7,0.1105714,0.0004373518,0.00007673413,0.00002229552,0.00001339978,0.000009704346,0.000005939779],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9462742,"threshold_uncertainty_score":0.6419812,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02798479225111956,"score_gpt":0.2537882908667692,"score_spread":0.2258034986156496,"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."}}