{"id":"W2231068950","doi":"10.32657/10356/13589","title":"Refining learning models in grammatical inference","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McMaster University","keywords":"Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002565966,0.0002403871,0.0003245469,0.0002906343,0.0001299237,0.0001471772,0.0007247144,0.000229912,0.00003010394],"category_scores_gemma":[0.0002182305,0.0002214428,0.00007253788,0.0004078726,0.00001288726,0.0003384481,0.00008622867,0.0012827,0.00009290074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003514421,"about_ca_system_score_gemma":0.0001595734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004290021,"about_ca_topic_score_gemma":0.00022282,"domain_scores_codex":[0.9982761,0.0001260512,0.0003731443,0.000502245,0.000382613,0.0003399196],"domain_scores_gemma":[0.9992058,0.0001917657,0.0001406116,0.0003178039,0.00006293466,0.0000810809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001215778,0.0001167269,0.00213519,0.0001822604,0.00002427334,0.0002167093,0.01082231,0.102769,0.00004605747,0.2478096,0.000233547,0.6356321],"study_design_scores_gemma":[0.0001579797,0.0000496287,0.00188407,0.0001649821,0.000002249145,0.000007431755,0.0001130787,0.9919491,0.00002679339,0.004699254,0.0006213487,0.0003240853],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.040538,0.000249763,0.6774793,0.0001768807,0.0007548474,0.0001125417,3.149204e-7,0.0007809016,0.2799074],"genre_scores_gemma":[0.7590914,0.0001179518,0.142759,0.0001019637,0.0001212468,0.00004492862,0.0001803553,0.00004567134,0.09753748],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8891801,"threshold_uncertainty_score":0.9030177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03181785070493954,"score_gpt":0.2951587504063345,"score_spread":0.263340899701395,"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."}}