{"id":"W7036454921","doi":"","title":"Characteristics mapping methods and application to adaptive moving mesh","year":2016,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Medical History and Research","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Adaptive mesh refinement; Surface (topology); Calibration; Minification","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005071785,0.0004069764,0.0003488142,0.001008433,0.0004707901,0.0009351546,0.0009368396,0.001005799,0.006056617],"category_scores_gemma":[0.003526738,0.0003377161,0.0006104102,0.0008582114,0.0007504466,0.0009303408,0.001298291,0.001125866,0.001238462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005489248,"about_ca_system_score_gemma":0.0006669798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002913645,"about_ca_topic_score_gemma":0.001889327,"domain_scores_codex":[0.9997597,0.00006124641,0.00001308443,0.00003883232,0.0001070066,0.00002008777],"domain_scores_gemma":[0.9989741,0.000559781,0.00006073697,0.0001174764,0.000241357,0.00004650261],"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":[0.00007772719,0.00006136764,0.001834707,0.0003229166,0.00003949442,0.0002411662,0.000522423,0.3861108,0.01768381,0.2546774,0.004381139,0.334047],"study_design_scores_gemma":[0.000008783244,0.00003423971,0.0003509074,0.00003619526,0.000004168774,0.0001205113,0.00008436689,0.9356269,0.003860771,0.0399246,0.0199335,0.00001511442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008280047,0.0005203818,0.9821283,0.0003052339,0.0001731755,0.00004656101,0.00003816066,0.0002413089,0.008266823],"genre_scores_gemma":[0.295129,0.001986854,0.6638499,0.0001909093,0.0002085945,0.0002437969,0.000152591,0.0004464174,0.03779199],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006056617,"threshold_uncertainty_score":0.02026135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04210407088111907,"score_gpt":0.3037082788643313,"score_spread":0.2616042079832122,"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."}}