{"id":"W2399863493","doi":"10.1016/j.cag.2012.03.030","title":"Consensus meshing","year":2012,"lang":"en","type":"article","venue":"Computers & Graphics","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Autodesk (Canada)","funders":"","keywords":"Computer science; Computer graphics (images)","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":[0.0004371925,0.0001317203,0.0001216193,0.0002256462,0.0002009083,0.0001418233,0.0004694153,0.00005767504,0.000004548198],"category_scores_gemma":[0.00003143682,0.0001341088,0.00008529326,0.0007737893,0.00004250734,0.000404079,0.0002029683,0.0001410538,0.00005008883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000216043,"about_ca_system_score_gemma":0.00004176121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005235957,"about_ca_topic_score_gemma":0.000001060482,"domain_scores_codex":[0.9988645,0.00008268042,0.0001998586,0.0002316911,0.0002776523,0.0003436361],"domain_scores_gemma":[0.9990664,0.0002359663,0.00007656629,0.0003416366,0.00009746281,0.0001819938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002903714,0.000101658,0.003048133,0.00001197557,0.00003480964,0.000006837256,0.0008390903,0.001770323,0.0003073362,0.9299812,0.01380043,0.05009526],"study_design_scores_gemma":[0.001031376,0.00014846,0.05504782,0.00005472314,0.00003031202,0.0003343011,0.00003851306,0.716975,0.00268591,0.03492152,0.1876716,0.001060514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05560053,0.0007030834,0.9389708,0.001097229,0.002455355,0.0000919325,0.00000100993,0.0002449849,0.0008350758],"genre_scores_gemma":[0.8722144,0.00001398904,0.1258523,0.001494322,0.0003618023,0.000004155313,0.000007343215,0.000006851033,0.00004485704],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8950597,"threshold_uncertainty_score":0.5468798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02659270066868311,"score_gpt":0.2553931284466758,"score_spread":0.2288004277779927,"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."}}