{"id":"W4323022449","doi":"10.1109/access.2023.3251340","title":"Leveraging Public Information to Fit a Compact Hot Carrier Injection Model to a Target Technology","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Semiconductor materials and devices","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"CMC Microsystems","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002291141,0.0009062803,0.0005708592,0.001290178,0.0004325931,0.001259872,0.001439432,0.001521227,0.007520875],"category_scores_gemma":[0.01143367,0.0005402147,0.0007657938,0.001271208,0.0004570788,0.002429512,0.0009204092,0.0009824301,0.002745426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597219,"about_ca_system_score_gemma":0.001781232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006324715,"about_ca_topic_score_gemma":0.00699597,"domain_scores_codex":[0.9989256,0.0002630724,0.00005597151,0.0002069729,0.0004585168,0.0000898759],"domain_scores_gemma":[0.9936173,0.002679686,0.0006877962,0.001988722,0.0009788937,0.00004758551],"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":[0.0001268371,0.0002328406,0.007715414,0.0001568322,0.00005653711,0.0002550363,0.0001226255,0.9330895,0.00711775,0.00725271,0.004254652,0.03961931],"study_design_scores_gemma":[0.00001880963,0.00005136034,0.001171293,0.00002071805,0.00002077855,0.00008243616,0.00003377197,0.98171,0.006783206,0.00606135,0.004029953,0.00001627569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2048207,0.000182728,0.7517215,0.0007480808,0.00008140101,0.0003240255,0.01150538,0.01342409,0.01719209],"genre_scores_gemma":[0.8872942,0.0002184877,0.09480197,0.0001465535,0.00003067128,0.000388772,0.01055899,0.001180161,0.005380225],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007520875,"threshold_uncertainty_score":0.02515984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06546310171137984,"score_gpt":0.3000267278422105,"score_spread":0.2345636261308306,"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."}}