{"id":"W2156860687","doi":"10.1007/11867586_4","title":"Frozen-State Hierarchical Annealing","year":2006,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Simulated annealing; Annealing (glass); Binary number; Computational complexity theory; Porous medium; Hierarchical database model; Algorithm; Data mining; Porosity; Materials science; 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"],"consensus_categories":[],"category_scores_codex":[0.0004274943,0.0004440344,0.0004150959,0.0004475755,0.0003447383,0.0006340537,0.003220905,0.0002088721,0.00001190043],"category_scores_gemma":[0.0000159219,0.0003986233,0.0001375812,0.0006403134,0.0005749065,0.000375046,0.001193596,0.0009735319,0.00006083761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001389472,"about_ca_system_score_gemma":0.0002550936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003532964,"about_ca_topic_score_gemma":0.00005667617,"domain_scores_codex":[0.9965095,0.00002276483,0.0005036448,0.001497942,0.000760027,0.0007061024],"domain_scores_gemma":[0.9977742,0.0003726414,0.0002144093,0.001317565,0.0001350086,0.0001861898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000257597,0.00002024294,0.00002347067,0.00001188172,0.00000451755,0.00007906699,0.0001068271,0.1610036,0.00008933622,0.03366281,0.0003840701,0.8046116],"study_design_scores_gemma":[0.0001123673,0.00006074717,0.0000904505,0.0001194017,0.000002744819,0.00003823467,7.011777e-9,0.6770295,0.0003048404,0.3141755,0.007616054,0.0004501946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001110817,0.0003312563,0.9903191,0.001843662,0.0008748085,0.0002984443,0.000007129558,0.000221831,0.005992642],"genre_scores_gemma":[0.1518111,0.0001012601,0.8382941,0.004754482,0.001940005,0.0000328174,0.00002474579,0.00008652036,0.002954915],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8041614,"threshold_uncertainty_score":0.9998466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01405631043553108,"score_gpt":0.2399067939888908,"score_spread":0.2258504835533597,"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."}}