{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007077688,0.0004323977,0.0004156021,0.001134034,0.001277732,0.002361552,0.0009411635,0.0006971217,0.01695405],"category_scores_gemma":[0.003422554,0.0002704325,0.000563363,0.001087246,0.001496899,0.003796287,0.002705801,0.00146141,0.002245176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124537,"about_ca_system_score_gemma":0.0006234481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001219726,"about_ca_topic_score_gemma":0.001163569,"domain_scores_codex":[0.9988946,0.0001738039,0.0000629015,0.0003302077,0.0002661334,0.0002723604],"domain_scores_gemma":[0.998328,0.0005480568,0.0002344589,0.0003688322,0.0002104058,0.0003102801],"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":[0.0001340079,0.00004650282,0.0005805725,0.00008420412,0.00001428649,0.0001780255,0.0002016587,0.001325797,0.002692535,0.972259,0.005069867,0.01741362],"study_design_scores_gemma":[0.00003065474,0.00002902878,0.001043296,0.00002772364,0.00001745253,0.0003614491,0.00007096866,0.004195794,0.002576081,0.9747525,0.01686816,0.00002686955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4639987,0.0007558969,0.1752868,0.001980141,0.0004893449,0.0001422716,0.00206466,0.001026872,0.3542553],"genre_scores_gemma":[0.9426197,0.0003065263,0.01626705,0.000445765,0.0001725485,0.0001165933,0.001005009,0.00024198,0.03882481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01695405,"threshold_uncertainty_score":0.05671692,"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."}}