{"id":"W4387661504","doi":"10.1093/sysbio/syad063","title":"Is Over-parameterization a Problem for Profile Mixture Models?","year":2023,"lang":"en","type":"article","venue":"Systematic Biology","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Simons Foundation","keywords":"Biology; Evolutionary biology; Statistical physics; Applied mathematics; Computational biology; Mathematics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03029919,0.002491713,0.003676159,0.001648259,0.002046032,0.003184116,0.004806013,0.005359685,0.002988158],"category_scores_gemma":[0.1627284,0.002717829,0.002741998,0.001729735,0.004560491,0.007720901,0.003663603,0.007833273,0.001232256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00234106,"about_ca_system_score_gemma":0.002234908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319621,"about_ca_topic_score_gemma":0.00784012,"domain_scores_codex":[0.9879538,0.007307138,0.0007693871,0.002177002,0.001218674,0.0005739551],"domain_scores_gemma":[0.8547043,0.123377,0.006688392,0.01024778,0.004105564,0.0008770514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007344937,0.0002032278,0.02193534,0.0008078942,0.001080554,0.001210819,0.001833839,0.7033179,0.004575638,0.137793,0.00707264,0.1194346],"study_design_scores_gemma":[0.0000705303,0.00007332278,0.001524163,0.000112974,0.00008690671,0.000502394,0.0002168405,0.8233681,0.002194374,0.1679092,0.003818906,0.0001222495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02212163,0.0007511456,0.9732083,0.002009464,0.00009440612,0.000110584,0.0001830205,0.0005615706,0.0009598301],"genre_scores_gemma":[0.6116078,0.002074961,0.3750837,0.003175027,0.0005748691,0.001191666,0.001784272,0.001106513,0.003401245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03029919,"threshold_uncertainty_score":0.1602393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0442729476387585,"score_gpt":0.3134493499119861,"score_spread":0.2691764022732276,"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."}}