{"id":"W117982534","doi":"","title":"Inducing regularization of graphs, multigraphs and pseudographs.","year":2002,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Regularization (linguistics); Combinatorics; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00008829818,0.0001120837,0.0001497371,0.0002081053,0.00003769555,0.00001496241,0.00008337761,0.0001025317,0.00001925196],"category_scores_gemma":[0.00001429069,0.0001204431,0.0000423899,0.0003887075,0.00005020183,0.0001274371,0.00001480693,0.0001028882,0.000001802926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007641213,"about_ca_system_score_gemma":0.000001236175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009995723,"about_ca_topic_score_gemma":7.975618e-7,"domain_scores_codex":[0.9994377,0.00001794188,0.0001817993,0.0001199619,0.0001040245,0.000138594],"domain_scores_gemma":[0.9996692,0.00002685211,0.00003321595,0.0001870448,0.00003496501,0.00004874342],"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":[0.000005841205,0.0001843661,0.04132054,0.0003338048,0.0001749778,0.0000120514,0.002145505,0.00009763733,0.1207792,0.7753761,0.008980697,0.05058927],"study_design_scores_gemma":[0.001453246,0.0002349671,0.02029254,0.0002075624,0.00007092687,0.00002757448,0.0001016392,0.02656413,0.200427,0.7492393,0.0006543563,0.0007267777],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937434,0.001577722,0.0005169195,0.00001338435,0.0003349793,0.0001612127,0.000002913968,0.0004724388,0.003177097],"genre_scores_gemma":[0.99835,0.0004849237,0.001095058,0.000008852726,0.000002020193,0.00001086673,0.000002843747,0.00002251683,0.00002288406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07964776,"threshold_uncertainty_score":0.4911525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009950917027663106,"score_gpt":0.1897302259514448,"score_spread":0.1797793089237817,"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."}}