{"id":"W2367005639","doi":"","title":"2D polygon morphing based on polygonal shape controlling","year":2010,"lang":"en","type":"article","venue":"Computer Engineering and Applications Journal","topic":"Simulation and Modeling Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Morphing; Polygon (computer graphics); Feature (linguistics); Computer science; Position (finance); Monotone polygon; Constraint (computer-aided design); Shrinkage; Sequence (biology); Simple polygon; Artificial intelligence; Mathematics; Geometry","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":[0.0001482719,0.0001638516,0.0001339153,0.000204619,0.0001996328,0.0001581388,0.0001511575,0.00007941989,0.00003026336],"category_scores_gemma":[0.000006461496,0.0001686957,0.00005866555,0.0001480259,0.00001756649,0.00007390887,0.00001329626,0.0005818215,0.00001554895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002181599,"about_ca_system_score_gemma":0.00001573801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.732772e-7,"about_ca_topic_score_gemma":2.975844e-7,"domain_scores_codex":[0.9992549,0.000004877941,0.000244107,0.0001578892,0.00012973,0.000208474],"domain_scores_gemma":[0.9993989,0.0001111502,0.00003327669,0.0002118845,0.00005529045,0.0001894501],"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":[0.000001805325,0.00001747905,0.00004738375,0.000009279889,0.00001256059,6.482728e-7,0.00001989236,0.9574764,0.008684237,0.001774838,0.0001185485,0.03183691],"study_design_scores_gemma":[0.000388178,0.00001169616,0.0007311345,0.00002039405,0.0000117474,0.00005329286,0.000002373307,0.9774204,0.0003261718,0.0001055624,0.02075665,0.0001723508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08885472,0.00008968462,0.909865,0.0001794933,0.0002893076,0.0001402967,0.000005743496,0.0003716599,0.0002041462],"genre_scores_gemma":[0.9575437,0.00001662896,0.04111499,0.0001477402,0.001062129,0.00005954748,0.000009210614,0.00003807657,0.000007993066],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.86875,"threshold_uncertainty_score":0.6879212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007588275736991543,"score_gpt":0.2106499995772778,"score_spread":0.2030617238402863,"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."}}