{"id":"W1489057821","doi":"10.1007/3-540-47922-8_5","title":"Transposition Table Driven Work Scheduling in Distributed Game-Tree Search","year":2002,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Scheduling (production processes); Distributed computing; Engineering; Operations management","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":[0.0004756465,0.0003887007,0.0003953944,0.0009552788,0.0001720876,0.0005063077,0.001428357,0.0003234909,0.00007724908],"category_scores_gemma":[0.00003726585,0.0004069759,0.00009179725,0.001611289,0.000380502,0.000749883,0.0002997214,0.0009325253,0.00004303686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004799318,"about_ca_system_score_gemma":0.0002915631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002276627,"about_ca_topic_score_gemma":0.0001415125,"domain_scores_codex":[0.9968174,0.00005068568,0.0005064186,0.00119353,0.0008115775,0.0006203753],"domain_scores_gemma":[0.998575,0.0002012778,0.0001461769,0.0007285837,0.0001927943,0.0001561315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004696603,0.0000223709,0.0009989578,0.00001636304,0.000004186582,0.00005329133,0.0005330003,0.6891862,0.00004639625,0.00359825,0.000002995758,0.3055333],"study_design_scores_gemma":[0.0003816825,0.00005796574,0.003974921,0.0006061231,0.000004476673,0.00002881006,2.771642e-7,0.9870034,0.0002652032,0.007060714,0.0001376505,0.0004788154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004635456,0.0001763565,0.9959828,0.001117805,0.0006897998,0.0003709835,0.00001014929,0.0001603236,0.001028288],"genre_scores_gemma":[0.6626841,0.00009751327,0.336402,0.0004478754,0.0001615944,0.000009209654,0.00003011203,0.00002612585,0.0001414458],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6622206,"threshold_uncertainty_score":0.9998382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01700337401409503,"score_gpt":0.2324240579182897,"score_spread":0.2154206839041946,"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."}}