{"id":"W3175843652","doi":"","title":"Effects of boundary conditions in fully convolutional networks for learning spatio-temporal dynamics","year":2021,"lang":"en","type":"other","venue":"Open Archive Toulouse Archive Ouverte (University of Toulouse)","topic":"Model Reduction and Neural Networks","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Dynamics (music); Computer science; Boundary (topology); Convolutional neural network; Artificial intelligence; Mathematics; Physics; Mathematical analysis","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001272809,0.000392807,0.0009141606,0.0004019573,0.0002913166,0.00004092321,0.0008049656,0.0001512624,0.002896106],"category_scores_gemma":[0.00001291213,0.0005060695,0.0004236691,0.0002348467,0.0004835817,0.0001396899,0.0006619842,0.0006548786,0.000007188218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007603275,"about_ca_system_score_gemma":0.0003976779,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008203448,"about_ca_topic_score_gemma":0.01256249,"domain_scores_codex":[0.9980215,0.0003411196,0.0003345136,0.0006367162,0.0002283947,0.0004376994],"domain_scores_gemma":[0.9982976,0.0004139891,0.0006900777,0.0003490123,0.00007752119,0.0001718169],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001634744,0.002022227,0.01753433,0.001390665,0.002412649,0.0001296476,0.002645801,0.04116187,0.0003106488,0.08497164,0.8289523,0.01683354],"study_design_scores_gemma":[0.0117438,0.0008628828,0.009728277,0.003923857,0.0007118887,0.00001081706,0.003243587,0.5576138,0.0000515153,0.01906842,0.390884,0.002157148],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005485711,0.0002788768,0.7570907,0.0002317224,0.0007411597,0.003694607,0.003646446,0.00009297489,0.2287377],"genre_scores_gemma":[0.3045766,0.0006850018,0.04847598,0.0001381802,0.0009469817,0.00006828023,0.03937715,0.0008768669,0.6048549],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7086148,"threshold_uncertainty_score":0.9997391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00880961013912102,"score_gpt":0.2271296624711124,"score_spread":0.2183200523319913,"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."}}