{"id":"W2914927841","doi":"","title":"Proceedings of the 26th International Conference on Algorithmic Learning Theory - Volume 9355","year":2015,"lang":"en","type":"article","venue":"","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Regina","funders":"","keywords":"Volume (thermodynamics); Computer science; Physics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.003459462,0.0000774428,0.0001263243,0.0001368317,0.0001159107,0.0001612705,0.0008748909,0.00004629044,0.0007486092],"category_scores_gemma":[0.005826094,0.00004237686,0.0000820338,0.0004442094,0.0001461186,0.0001760605,0.0001489158,0.0002118194,0.0004678667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002584289,"about_ca_system_score_gemma":0.000120026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002658083,"about_ca_topic_score_gemma":0.000002061302,"domain_scores_codex":[0.9981399,0.00006054221,0.0002952812,0.0002396484,0.001121854,0.000142792],"domain_scores_gemma":[0.9983315,0.0002516946,0.0001924808,0.0001614696,0.000985992,0.00007689186],"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":[0.00006611631,0.0001284595,0.03968802,0.00000134589,0.00004963247,4.66214e-7,0.00208165,0.001363787,0.0008526997,0.9120134,0.02454074,0.01921375],"study_design_scores_gemma":[0.00114733,0.0002781466,0.02557211,0.00008194447,0.00004394642,0.0000249988,0.01877788,0.2663789,0.002948786,0.6062263,0.07815915,0.0003604031],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3571034,0.00002951951,0.007609003,0.005038023,0.001405143,0.00014828,0.000006254897,0.00009878423,0.6285616],"genre_scores_gemma":[0.9111388,0.000001904065,0.002026977,0.0001153802,0.00008585506,0.000003923653,5.33257e-7,0.000004709565,0.08662193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5540354,"threshold_uncertainty_score":0.8196746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2059085637703257,"score_gpt":0.3898679408667366,"score_spread":0.1839593770964109,"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."}}