{"id":"W161287854","doi":"","title":"Edge Complete (p, 2) Semigraphs.","year":2007,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"Advanced Graph Theory Research","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Enhanced Data Rates for GSM Evolution; 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":[0.001231368,0.0001711603,0.0001889357,0.0002737296,0.0002196117,0.00009300277,0.001617203,0.00007478108,0.00002747069],"category_scores_gemma":[0.00009496906,0.000171192,0.00009939555,0.00124694,0.0001480528,0.0004776924,0.0004499067,0.00030916,0.0002783802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006020235,"about_ca_system_score_gemma":0.00004182466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001183981,"about_ca_topic_score_gemma":0.000007423884,"domain_scores_codex":[0.9980067,0.00008502362,0.0002603325,0.0004552961,0.000494647,0.0006980205],"domain_scores_gemma":[0.9981105,0.0004001863,0.0000727208,0.00100567,0.0001563772,0.0002545082],"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":[0.0000104617,0.0000621593,0.001882066,0.000005567386,0.00001258017,0.00005446913,0.0001782696,0.00000219287,0.00221223,0.9869075,0.001537347,0.007135159],"study_design_scores_gemma":[0.0005702418,0.0001052134,0.006444767,0.00001095247,0.000001967001,0.00002044552,0.00002424784,0.000455976,0.004908754,0.9697925,0.01743323,0.0002317267],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6403623,0.0009496704,0.2867803,0.001056064,0.005887028,0.0007500645,0.0000070818,0.001352509,0.0628549],"genre_scores_gemma":[0.9904658,0.00001246394,0.008807466,0.000265344,0.00001061603,0.000008255405,0.000002450309,0.0000176943,0.000409913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3501035,"threshold_uncertainty_score":0.6981008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02292605634489654,"score_gpt":0.2889876445121452,"score_spread":0.2660615881672487,"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."}}