{"id":"W2924045518","doi":"10.1090/gsm/197","title":"A Course on Partial Differential Equations","year":2018,"lang":"en","type":"book","venue":"Graduate studies in mathematics","topic":"Numerical methods for differential equations","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Course (navigation); Partial differential equation; First-order partial differential equation; Mathematics; Applied mathematics; Computer science; Mathematical analysis; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001000523,0.0009264917,0.001967978,0.0004010509,0.0003107078,0.00006822981,0.0006622786,0.0004465497,0.0002871412],"category_scores_gemma":[0.007592731,0.000821815,0.0004940398,0.0003099045,0.0009640089,0.00007448039,0.0004590614,0.001053879,0.0006737103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005930118,"about_ca_system_score_gemma":0.0002299786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001862986,"about_ca_topic_score_gemma":0.0000435789,"domain_scores_codex":[0.9950384,0.0003700154,0.001711583,0.0007832192,0.001319393,0.0007773585],"domain_scores_gemma":[0.9894966,0.007546093,0.001018163,0.001349564,0.0004316005,0.0001579321],"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":[0.00003691329,0.001626373,0.000001307653,0.001776475,0.001373583,0.00004091289,0.006929045,0.000005433899,0.000009973255,0.8843516,0.0994619,0.004386525],"study_design_scores_gemma":[0.0006590196,0.0002995151,0.000004905739,0.001900672,0.0008982764,0.000005183031,0.0004455847,0.001383397,0.00004658757,0.9908187,0.002759704,0.0007784062],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.002511737,0.0008949087,0.6188419,0.001294841,0.01260924,0.007467865,0.0008209697,0.001447711,0.3541108],"genre_scores_gemma":[0.003788075,0.0005540514,0.221087,0.00012981,0.00337984,0.0009819086,0.0001896968,0.0006564095,0.7692332],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4151224,"threshold_uncertainty_score":0.9994233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4043393507831564,"score_gpt":0.4657722249033645,"score_spread":0.06143287412020804,"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."}}