{"id":"W2405695800","doi":"","title":"The Induced Matching Extendability of C 2n (1, k).","year":2010,"lang":"en","type":"article","venue":"Ars Combinatoria","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics; Matching (statistics); Statistics","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":[0.0004494944,0.00008007439,0.00008720266,0.00000673365,0.0001354137,0.0000162712,0.0002699727,0.0001180416,0.000005840703],"category_scores_gemma":[0.0002460811,0.00004986178,0.00006592612,0.00005323058,0.00009364664,0.000001461871,0.0001701572,0.000170124,0.000003490029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000255199,"about_ca_system_score_gemma":0.00002633709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001756377,"about_ca_topic_score_gemma":0.00001584796,"domain_scores_codex":[0.999363,0.00005577809,0.0001656162,0.000177435,0.00007713617,0.0001610236],"domain_scores_gemma":[0.9994201,0.00005974777,0.00007503315,0.00033432,0.00007028515,0.00004053377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001906819,0.00004116173,0.004637307,0.000003404216,0.00001079411,3.556991e-7,0.00001409831,3.878395e-7,0.9535729,0.03758214,0.0001377949,0.003980618],"study_design_scores_gemma":[0.0004801175,0.000396018,0.05484357,0.000006482854,0.000008627654,0.000006731046,0.00007802917,0.00002187581,0.7400234,0.193624,0.01030539,0.0002058287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973398,0.0000573653,0.000009111883,0.0001156647,0.001088226,0.00007752056,0.000001276639,0.00001020772,0.001300858],"genre_scores_gemma":[0.9997231,0.000007831854,0.0001297329,0.00004760539,0.00002545793,0.000003535936,0.000005715247,0.00000568376,0.00005129683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2135495,"threshold_uncertainty_score":0.2033305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009758420077197174,"score_gpt":0.2553009685362596,"score_spread":0.2455425484590624,"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."}}