{"id":"W2609083558","doi":"10.5772/66069","title":"Simulated Annealing of Constrained Statistical Functions","year":2017,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Econometrics; Mathematics","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001452627,0.0002645146,0.0004753928,0.000100113,0.0001955204,0.00004014873,0.0002377114,0.0003194959,0.002320406],"category_scores_gemma":[0.001138376,0.0002632057,0.0001314947,0.000006963251,0.0006766714,0.00001846485,0.00006495264,0.0003840332,0.0002084061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005692512,"about_ca_system_score_gemma":0.0001435866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008690521,"about_ca_topic_score_gemma":0.000005826693,"domain_scores_codex":[0.9985712,0.00001420187,0.0006778792,0.0002870267,0.0002719022,0.0001777951],"domain_scores_gemma":[0.9972913,0.001001504,0.0005215416,0.0006211505,0.0004340536,0.0001304772],"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":[0.0000129881,0.00001907316,4.06403e-7,0.00008921393,0.00008460673,0.000007389796,0.00002281606,6.984195e-7,0.000572549,0.9905969,0.002769603,0.00582379],"study_design_scores_gemma":[0.0003521272,0.00005649229,0.000006176649,0.0003349541,0.0002321322,0.00001413171,0.00001561705,0.001199388,0.001535238,0.9455888,0.05036172,0.0003032734],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00001006621,0.000004880591,0.5160904,0.00005216493,0.00006625373,0.0002717992,0.003569018,0.0001092103,0.4798262],"genre_scores_gemma":[0.4370264,0.000002606549,0.01907236,0.00004998015,0.00009101008,0.00003111091,0.0007932306,0.00008159962,0.5428517],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.497018,"threshold_uncertainty_score":0.999982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1036414518825128,"score_gpt":0.3727529336406664,"score_spread":0.2691114817581536,"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."}}