{"id":"W1528015358","doi":"10.1007/978-3-540-24840-8_18","title":"A Hybrid Schema for Systematic Local Search","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Schema (genetic algorithms); Computer science; Information retrieval","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":[0.0009008903,0.000396711,0.0005439423,0.0007471667,0.0002570286,0.0005378814,0.001764355,0.0001864276,0.00002941415],"category_scores_gemma":[0.0001059892,0.0003601774,0.0001620436,0.0003406019,0.0005696547,0.0004863706,0.0005051937,0.0004556467,0.00004727265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006006969,"about_ca_system_score_gemma":0.001104228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000010658,"about_ca_topic_score_gemma":0.00002324651,"domain_scores_codex":[0.9968753,0.00002799952,0.0005481566,0.00115855,0.0008549399,0.0005350682],"domain_scores_gemma":[0.9978002,0.0004772738,0.0002091051,0.0009778915,0.0003665382,0.0001690397],"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":[0.000006778858,0.00002794204,0.000006354653,0.003009301,0.0000219871,0.00005911665,0.0005425278,0.4521016,0.00003440618,0.2060052,0.00001158341,0.3381732],"study_design_scores_gemma":[0.0003638083,0.0001124381,0.000008020666,0.003695263,0.00000848299,0.0001422996,2.397216e-7,0.8901899,0.0009414568,0.1040592,0.00003979853,0.0004390793],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000009404688,0.0001228218,0.9958939,0.0006666807,0.0008948553,0.001304969,0.000006129979,0.0001759769,0.0009252905],"genre_scores_gemma":[0.2964372,0.00001295957,0.7020413,0.000939221,0.0002133674,0.00004533547,0.000008017611,0.00003447997,0.0002681561],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4380883,"threshold_uncertainty_score":0.999885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01735564059616752,"score_gpt":0.2537859112549982,"score_spread":0.2364302706588307,"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."}}