{"id":"W3194220760","doi":"10.14288/1.0401455","title":"Some research problems under finite mixture models","year":2021,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science","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":[0.02756554,0.001653775,0.002874394,0.004604685,0.002387548,0.005375206,0.00359535,0.005346321,0.007901578],"category_scores_gemma":[0.1214467,0.001662513,0.004066336,0.005257148,0.006476658,0.01219161,0.005331432,0.007072028,0.001338463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003078465,"about_ca_system_score_gemma":0.002449637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005809209,"about_ca_topic_score_gemma":0.00215526,"domain_scores_codex":[0.9814749,0.01080719,0.001079633,0.003380645,0.002685425,0.000572157],"domain_scores_gemma":[0.8895276,0.09476501,0.005036457,0.003236745,0.006481063,0.000953088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003073067,0.00003318066,0.001451529,0.0002348569,0.00008063435,0.0001989572,0.0004470091,0.02291961,0.0001453265,0.9482774,0.002306276,0.02387444],"study_design_scores_gemma":[0.00001632988,0.00002165038,0.0003199147,0.00009702242,0.00002662756,0.000124547,0.0001086532,0.1045064,0.0001690411,0.889985,0.004591638,0.0000331312],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007570478,0.004671715,0.9740955,0.00586597,0.0002538411,0.00005633992,0.0001609268,0.0001537426,0.007171543],"genre_scores_gemma":[0.3428307,0.01423637,0.6126549,0.004134458,0.004556567,0.001045078,0.001447259,0.0005582487,0.01853643],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02756554,"threshold_uncertainty_score":0.1457822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04091581173163052,"score_gpt":0.2418295389650349,"score_spread":0.2009137272334043,"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."}}