{"id":"W1612117521","doi":"10.37236/1967","title":"Permanents of Hessenberg (0,1)-matrices","year":2005,"lang":"en","type":"article","venue":"The Electronic Journal of Combinatorics","topic":"Matrix Theory and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Combinatorics; Mathematics; Matrix (chemical analysis); Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006667326,0.000568272,0.0003222669,0.001701947,0.001032928,0.00222779,0.0008932601,0.0006997688,0.01839742],"category_scores_gemma":[0.003803255,0.000399031,0.0005693905,0.000987862,0.001863733,0.002502764,0.001361073,0.001208432,0.003787478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007610215,"about_ca_system_score_gemma":0.0007087127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004403896,"about_ca_topic_score_gemma":0.0009180488,"domain_scores_codex":[0.9993143,0.0001171798,0.00004163076,0.0001444843,0.0001795682,0.0002029634],"domain_scores_gemma":[0.99829,0.0005819789,0.0003114865,0.0002729575,0.0003049413,0.0002386661],"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":[0.0002778902,0.00009067171,0.0007818727,0.0001386328,0.00001862215,0.0002124496,0.0002919378,0.0214099,0.00933906,0.9158249,0.008753862,0.04286014],"study_design_scores_gemma":[0.00004080814,0.0001846736,0.0008383304,0.00002788942,0.000008293256,0.0002731507,0.0001186805,0.04758886,0.01076947,0.9323493,0.007733173,0.00006726599],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3710953,0.0004977761,0.539403,0.001046148,0.0003945097,0.0001624938,0.002171329,0.00194226,0.08328723],"genre_scores_gemma":[0.8599669,0.0003460623,0.08978869,0.0003147716,0.0002620029,0.0002969043,0.001794723,0.0003836438,0.04684627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01839742,"threshold_uncertainty_score":0.06154549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005077674926159721,"score_gpt":0.2248966321641633,"score_spread":0.2198189572380036,"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."}}