{"id":"W2017352617","doi":"10.1007/978-3-540-24595-7_32","title":"Experiments with the Fixed-Parameter Approach for Two-Layer Planarization","year":2004,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Computer science; Chemical-mechanical planarization; Layer (electronics); Integer programming; Linear programming; Integer (computer science); Algorithm; Running time; Mathematical optimization; Parallel computing; Theoretical computer science; Mathematics; Programming language","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005170249,0.0003903232,0.0002886839,0.0004271564,0.0004116905,0.0005909666,0.001726569,0.0001472661,0.000007458636],"category_scores_gemma":[0.00003347286,0.0002655277,0.00008755394,0.0005635573,0.000304128,0.0005051616,0.0003516133,0.0003309172,0.000006630397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002305604,"about_ca_system_score_gemma":0.0005292599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008959405,"about_ca_topic_score_gemma":0.00001161841,"domain_scores_codex":[0.9972995,0.00002625323,0.0003040398,0.001138522,0.0008145198,0.0004171495],"domain_scores_gemma":[0.9982315,0.0003970625,0.0002273212,0.0007874693,0.0002667701,0.00008982874],"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":[0.00001609433,0.00003734933,0.000006244818,0.00001958269,0.00001778071,0.000006115886,0.0006852754,0.831861,0.0002166934,0.05822165,0.00004171417,0.1088705],"study_design_scores_gemma":[0.0006897562,0.0002746574,0.00002860102,0.00008002129,0.00001255374,0.00005073283,3.633396e-7,0.9312911,0.005486047,0.06073637,0.0008538002,0.0004960059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00008408377,0.0001657978,0.9961761,0.0007677341,0.0005957517,0.0008719285,0.000005263171,0.00007989422,0.001253445],"genre_scores_gemma":[0.2242736,0.00000325281,0.772792,0.001971045,0.0004719414,0.000073717,0.00005086472,0.00002647899,0.0003371476],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2241895,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02651714170800634,"score_gpt":0.2639572316062054,"score_spread":0.237440089898199,"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."}}