{"id":"W2771084866","doi":"","title":"Erasing Pattern Languages Distinguishable by a Finite Number of Strings","year":2017,"lang":"en","type":"article","venue":"Algorithmic Learning Theory","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Theoretical computer science","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":[0.0009481045,0.0004806008,0.0007237538,0.0005927046,0.0005576796,0.001682733,0.001394641,0.001397101,0.00315025],"category_scores_gemma":[0.009575078,0.0004714895,0.0007301198,0.0006415133,0.001659995,0.005019042,0.003054371,0.002425677,0.0008142103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004206193,"about_ca_system_score_gemma":0.000739165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002350453,"about_ca_topic_score_gemma":0.0005224917,"domain_scores_codex":[0.9988422,0.0002536853,0.0001165134,0.0003263285,0.000274355,0.0001869061],"domain_scores_gemma":[0.9917839,0.005460843,0.0004804117,0.001637087,0.0003645158,0.0002733304],"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":[0.001589442,0.0003971885,0.003281722,0.0006699531,0.0001453175,0.0007706978,0.0007185251,0.0491026,0.1566819,0.3934714,0.003954111,0.3892172],"study_design_scores_gemma":[0.0001157549,0.0002319018,0.0004783193,0.00008482553,0.00004995756,0.000432339,0.0002280352,0.277236,0.08327513,0.6328239,0.004992994,0.0000509508],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3731028,0.0005453672,0.6136143,0.001655493,0.0003359006,0.00007235652,0.000213232,0.001638371,0.008822209],"genre_scores_gemma":[0.8614869,0.0002400202,0.130788,0.0006985507,0.00010989,0.00009229719,0.000262935,0.0003263543,0.005995095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00315025,"threshold_uncertainty_score":0.01053864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006884749596829058,"score_gpt":0.2788451375763609,"score_spread":0.2719603879795319,"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."}}