{"id":"W4402517390","doi":"10.1007/s00209-024-03548-y","title":"Modified Macdonald polynomials and the multispecies zero range process: II","year":2024,"lang":"en","type":"article","venue":"Mathematische Zeitschrift","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Mathematics; Zero (linguistics); Range (aeronautics); Process (computing); Macdonald polynomials; Pure mathematics; Orthogonal polynomials; Difference polynomials; Linguistics","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":[0.001498563,0.0002742649,0.0003991276,0.0001085763,0.000344921,0.0006162268,0.0008209884,0.0001158899,0.00003969461],"category_scores_gemma":[0.0001406678,0.0001569698,0.000132618,0.0003468005,0.0002092942,0.0005719714,0.0004393613,0.0003037213,0.00005416997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002980782,"about_ca_system_score_gemma":0.00006442314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001925337,"about_ca_topic_score_gemma":0.000003208502,"domain_scores_codex":[0.9981973,0.0001851744,0.0003686686,0.0005489132,0.0003470208,0.0003529066],"domain_scores_gemma":[0.9985782,0.0005646325,0.00007897065,0.0006187747,0.00005262121,0.0001068372],"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":[0.00001167068,0.00002201424,0.000001823549,0.0001787522,0.00004869557,0.00001477874,0.005904757,0.000004234375,0.000307591,0.9427481,0.003361372,0.04739623],"study_design_scores_gemma":[0.002860347,0.0001049715,0.0001240098,0.0006875327,0.0001419615,0.0004592571,0.00009725505,0.3854464,0.004657297,0.5233741,0.08108548,0.0009614472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002203441,0.008576726,0.9455825,0.006741126,0.0003250754,0.0004867955,0.000009113903,0.0003656158,0.03570962],"genre_scores_gemma":[0.7391957,0.0002165789,0.2554117,0.0007116127,0.0001867837,0.000155317,0.000001302599,0.0000364795,0.004084564],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7369922,"threshold_uncertainty_score":0.6401043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172498833338723,"score_gpt":0.2744955872880872,"score_spread":0.2572457039542149,"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."}}