{"id":"W4394717711","doi":"10.1137/1.9781611978032.82","title":"Knowledge Guided Machine Learning for Extracting, Preserving, and Adapting Physics-aware Features","year":2024,"lang":"en","type":"book-chapter","venue":"Society for Industrial and Applied Mathematics eBooks","topic":"Computational Physics and Python Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.0003665763,0.0003900617,0.0004447084,0.00003466575,0.0005310102,0.0004181354,0.0003349845,0.0003574353,0.00000247676],"category_scores_gemma":[0.00001569089,0.000368088,0.0003681838,0.00003131227,0.00008237743,0.00005077625,0.0004818903,0.0006176158,0.000003209881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003566422,"about_ca_system_score_gemma":0.0001183353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000029906,"about_ca_topic_score_gemma":0.000002226666,"domain_scores_codex":[0.9985539,0.000003009732,0.0004077111,0.000595324,0.000188108,0.0002519354],"domain_scores_gemma":[0.9983578,0.000776042,0.0003650179,0.0002722358,0.000126282,0.0001026067],"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":[0.000003742823,0.00001578363,4.426266e-8,0.0005227573,0.000175541,1.019164e-7,0.001672874,0.00006035349,0.000107689,0.9442335,0.007523392,0.04568418],"study_design_scores_gemma":[0.0005100744,0.00004060119,5.792074e-8,0.0002318544,0.0001483803,0.000004653343,0.00005905173,0.09377252,0.0001403448,0.7673584,0.1373822,0.0003519232],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.00006741747,0.0009644611,0.643899,0.0005282704,0.0003524468,0.003960417,0.0002824992,0.0004706935,0.3494748],"genre_scores_gemma":[0.007727438,0.00008122683,0.2723921,0.0001785671,0.004517075,0.001307062,0.0003945815,0.0003398116,0.7130622],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3715069,"threshold_uncertainty_score":0.9998771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0955180113745672,"score_gpt":0.2994092885073821,"score_spread":0.2038912771328149,"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."}}