{"id":"W4220653070","doi":"10.1002/9781119078166.ch10","title":"Expectation Maximization","year":2022,"lang":"en","type":"other","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","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":[0.005352705,0.002654698,0.002717823,0.001692664,0.0008705939,0.005730442,0.003279803,0.002265265,0.02519092],"category_scores_gemma":[0.01912392,0.0009152671,0.00213763,0.002631768,0.00161606,0.004644449,0.003590918,0.002795985,0.02181983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507847,"about_ca_system_score_gemma":0.002418904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001570114,"about_ca_topic_score_gemma":0.001237413,"domain_scores_codex":[0.9934222,0.002608458,0.0004776445,0.001202666,0.001963149,0.00032594],"domain_scores_gemma":[0.9936905,0.003911062,0.0002723645,0.0008849548,0.001123764,0.0001173979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001479472,0.0001354238,0.001191778,0.001596595,0.000364762,0.0002838989,0.0002384306,0.1275145,0.002928411,0.3930784,0.06503274,0.4074872],"study_design_scores_gemma":[0.00004904297,0.0001019346,0.0003839119,0.0004950782,0.000106231,0.0004740517,0.0001163585,0.3092555,0.00408934,0.5084376,0.1763999,0.00009103659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009778254,0.004028148,0.961722,0.001199144,0.0005088716,0.0001258145,0.0006974567,0.001204041,0.02953657],"genre_scores_gemma":[0.1066733,0.02546865,0.8092157,0.002579683,0.001938838,0.001220148,0.005143854,0.002019207,0.0457407],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02519092,"threshold_uncertainty_score":0.08427203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1500714825783192,"score_gpt":0.3995244599515281,"score_spread":0.2494529773732089,"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."}}