{"id":"W4386986665","doi":"10.3850/978-981-18-8071-1_p672-cd","title":"On the Construction of Numerical Models through a Prime Convolutional Approach","year":2023,"lang":"en","type":"article","venue":"","topic":"Numerical Methods and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Canadian Institute of Steel Construction","keywords":"Modulo; Computer science; Congruence (geometry); Prime factor; Convolutional neural network; Representation (politics); Prime (order theory); Set (abstract data type); Integer (computer science); Theoretical computer science; Algorithm; Artificial intelligence; Mathematics; Discrete mathematics; Programming language; Combinatorics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267046,0.00006962991,0.0001158361,0.00002812769,0.00007682617,0.00002363268,0.0003647342,0.00003021503,0.00002296675],"category_scores_gemma":[0.0000457279,0.00003968568,0.00006094579,0.0006792768,0.0001118342,0.00016552,0.0001274209,0.00009382016,0.0000397263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000011739,"about_ca_system_score_gemma":0.00003416538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002244794,"about_ca_topic_score_gemma":1.458649e-8,"domain_scores_codex":[0.9991048,0.0001077348,0.0001464812,0.0002121104,0.0002771941,0.0001516968],"domain_scores_gemma":[0.9992473,0.0003588878,0.00005087776,0.0002698248,0.00004352656,0.00002960044],"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":[0.000001496786,0.00003074804,0.000006005773,0.000001784323,0.000007493433,2.857564e-7,0.00007899792,0.0009923697,0.00007438774,0.9839956,0.0004438761,0.01436696],"study_design_scores_gemma":[0.00005388463,0.00003157716,0.00008977947,0.000002068484,9.48593e-7,0.000004724168,0.00003023467,0.6114477,0.000456534,0.3876724,0.0001703603,0.00003979185],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006509585,0.000007456951,0.980119,0.001738012,0.0001630041,0.00009405954,0.00000177715,0.0001326327,0.01709306],"genre_scores_gemma":[0.1211443,0.000005127671,0.8782726,0.0003197868,0.00003263633,0.00001655463,0.000001146241,0.000003791676,0.0002040616],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6104553,"threshold_uncertainty_score":0.1618335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06688757919077966,"score_gpt":0.2875273924641743,"score_spread":0.2206398132733947,"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."}}