{"id":"W4234749367","doi":"10.1504/ijdmmm.2021.112908","title":"A formal theoretical framework for a flexible classification process","year":2021,"lang":"en","type":"article","venue":"International Journal of Data Mining Modelling and Management","topic":"Rough Sets and Fuzzy Logic","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Process (computing); Computer science; Process management; Artificial intelligence; Management science; Programming language; Engineering","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":[0.01535913,0.0007662713,0.0008251042,0.005042332,0.00320478,0.008018458,0.003497682,0.003752092,0.008239268],"category_scores_gemma":[0.01909811,0.0007040788,0.002951348,0.003799596,0.01279469,0.01381084,0.00398592,0.004330482,0.002208709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004653891,"about_ca_system_score_gemma":0.003349175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003392865,"about_ca_topic_score_gemma":0.001759213,"domain_scores_codex":[0.9895583,0.003945378,0.001175768,0.001789393,0.002808236,0.0007228986],"domain_scores_gemma":[0.9846827,0.00990276,0.001380178,0.001625232,0.00186813,0.0005408601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000003138491,0.000008914668,0.00007273765,0.00002052116,0.000004238639,0.00003404629,0.0001578576,0.0009146592,0.00008827693,0.9960813,0.0002982735,0.002316057],"study_design_scores_gemma":[0.00001397606,0.00001440025,0.00005768771,0.00003258159,0.000008557798,0.00007409883,0.00008040054,0.01390007,0.0001730744,0.9773039,0.008330036,0.00001119925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003921525,0.000410891,0.9799389,0.002862555,0.0001357594,0.0001303078,0.0001613402,0.0001460739,0.0122927],"genre_scores_gemma":[0.2077832,0.0007561795,0.778807,0.0009921127,0.0005458761,0.0008921348,0.0005045535,0.0001136677,0.009605189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01535913,"threshold_uncertainty_score":0.08122784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1223639558826884,"score_gpt":0.3636202096880854,"score_spread":0.241256253805397,"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."}}