{"id":"W4393976385","doi":"10.1002/9781119763222.ch5","title":"Computation of Fields Via Integration Along Branch Cuts","year":2024,"lang":"en","type":"other","venue":"","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computation; Computer science; Parallel computing; Computational science; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008294201,0.0006307518,0.0005904222,0.001063075,0.0005531893,0.001587649,0.0007463319,0.0006914288,0.005551206],"category_scores_gemma":[0.003036908,0.0003097987,0.0004807656,0.000679127,0.001062022,0.001724401,0.001140229,0.001230136,0.001041792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009599983,"about_ca_system_score_gemma":0.0007074111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001599503,"about_ca_topic_score_gemma":0.002028507,"domain_scores_codex":[0.9997401,0.0000706129,0.00001282685,0.00003117021,0.000111746,0.00003353765],"domain_scores_gemma":[0.999461,0.0003203983,0.00003555255,0.00004853441,0.0001023916,0.00003219118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001182058,0.00005435579,0.0009917058,0.0001304214,0.00003316747,0.0002343346,0.0003007992,0.2324265,0.01036389,0.6696164,0.001987506,0.08374266],"study_design_scores_gemma":[0.00001759331,0.00003073089,0.0001966568,0.00002789932,0.000005684567,0.0000501193,0.0000505586,0.7839332,0.002893616,0.207036,0.005746425,0.00001146514],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03899017,0.0002636227,0.9348927,0.0001917147,0.00006290522,0.00004200946,0.00007736234,0.0003925134,0.02508699],"genre_scores_gemma":[0.4347212,0.0006552081,0.5452328,0.0001322268,0.00006623453,0.0001732839,0.0004171542,0.000779867,0.01782191],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005551206,"threshold_uncertainty_score":0.01857066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008851532124414939,"score_gpt":0.2609572047703526,"score_spread":0.2521056726459376,"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."}}