{"id":"W4405266296","doi":"10.32604/icces.2024.011685","title":"Use of Hybrid-PINNs for Fast Predictions of Transport Structures in the Cz-Melt in Growth of Bulk Silicon Single Crystals","year":2024,"lang":"en","type":"article","venue":"International Conference on Computational & Experimental Engineering and Sciences","topic":"Magnetic Properties and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Silicon; Materials science; Crystallography; Chemical physics; Optoelectronics; Chemistry","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":[0.0004011652,0.0005239627,0.0003589246,0.0002261205,0.0002803283,0.0003491529,0.0006519181,0.0005086341,0.0007516239],"category_scores_gemma":[0.0009240183,0.0002983248,0.0003044194,0.000174214,0.0003729293,0.0005792533,0.0003807667,0.0006892374,0.00007978812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001005588,"about_ca_system_score_gemma":0.0008139748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134202,"about_ca_topic_score_gemma":0.008378999,"domain_scores_codex":[0.9999385,0.00001409279,0.000002534767,0.00001484981,0.00001916444,0.00001082776],"domain_scores_gemma":[0.9997175,0.0001668292,0.00002646492,0.00001500902,0.00005235225,0.00002188619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006846672,0.00001722405,0.0007609032,0.00001374323,0.00001555997,0.00002642743,0.00001201959,0.9895108,0.00433739,0.0007326074,0.0001117134,0.004393126],"study_design_scores_gemma":[0.00000137735,0.000003793617,0.0000317368,2.720922e-7,5.29229e-7,7.877777e-7,7.347505e-7,0.9991847,0.0006659175,0.00009772054,0.00001178055,7.382188e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7672022,0.000210818,0.2271574,0.0003891276,0.00006284562,0.00005086938,0.0002964566,0.001523452,0.003106938],"genre_scores_gemma":[0.9806939,0.00002944891,0.01850864,0.00002285379,0.00000639217,0.00002563201,0.00009581368,0.00004028265,0.0005769596],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01134202,"threshold_uncertainty_score":0.02255201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05311896569664244,"score_gpt":0.2945353017321035,"score_spread":0.2414163360354611,"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."}}