{"id":"W2417722483","doi":"10.1016/j.disc.2016.05.010","title":"Backbone colourings of graphs","year":2016,"lang":"en","type":"article","venue":"Discrete Mathematics","topic":"Nuclear Receptors and Signaling","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Alberta; Brock University","funders":"","keywords":"Combinatorics; Mathematics; Corollary; Chromatic scale; Graph; Spanning tree; Discrete mathematics; Undirected graph","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001194218,0.00008296074,0.0001582972,0.00004622835,0.00004330257,0.00001332532,0.0001800079,0.00003235941,0.000509286],"category_scores_gemma":[0.0002726199,0.00004869422,0.00007570255,0.0001159365,0.0001205208,0.00007275233,0.00005827913,0.0000356596,0.0001410021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008207627,"about_ca_system_score_gemma":0.000007308015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001312703,"about_ca_topic_score_gemma":2.872289e-7,"domain_scores_codex":[0.9992625,0.00002185576,0.0002198502,0.0001398193,0.0002001168,0.0001558553],"domain_scores_gemma":[0.9993967,0.0002097955,0.0001233147,0.0002024883,0.00001871259,0.00004898529],"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":[0.000004789962,0.00003673576,0.00007432781,0.00004557798,0.000002631012,0.000002029547,0.00041414,4.579729e-7,0.8777072,0.1207411,0.0002267812,0.000744235],"study_design_scores_gemma":[0.0002778187,0.00006064191,0.00004068435,0.0001548834,0.000009408601,0.000007817363,0.0001019144,0.0001653705,0.9458644,0.05162672,0.001566086,0.0001242132],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986439,0.000009192208,0.002436068,0.0002059301,0.00008240265,0.0001105178,0.00001394961,0.00004929115,0.0106536],"genre_scores_gemma":[0.9964011,0.00002337105,0.002434099,0.00005181632,0.00001351564,0.000002822623,1.358048e-7,0.00001999738,0.001053152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06911438,"threshold_uncertainty_score":0.5576324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02746860444855094,"score_gpt":0.2543703894024976,"score_spread":0.2269017849539467,"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."}}