{"id":"W4287427319","doi":"10.1063/5.0099529","title":"Multijunction solar cell mesa isolation: A comparative study","year":2022,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"solar cell performance optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"Centre National de la Recherche Scientifique; Institut National des Sciences Appliquées de Lyon; Fonds de recherche du Québec – Nature et technologies; Université Grenoble Alpes; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Indian National Science Academy","keywords":"Wafer; Etching (microfabrication); Materials science; Wafer dicing; Optoelectronics; Fabrication; Solar cell; Throughput; Plasma etching; Process (computing); Isolation (microbiology); Dry etching; Nanotechnology; Computer science; Layer (electronics); Telecommunications","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":[0.0003393906,0.0002880495,0.0006715834,0.0006994898,0.0003623506,0.0006703049,0.0005109154,0.0004774634,0.001728497],"category_scores_gemma":[0.0003536788,0.0001477348,0.0005154344,0.0008827939,0.0001175673,0.0008419337,0.0003983458,0.0002624922,0.0004107179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000266325,"about_ca_system_score_gemma":0.0001606379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00041425,"about_ca_topic_score_gemma":0.001242471,"domain_scores_codex":[0.9996647,0.00002420305,0.00001657262,0.00005803585,0.0001923428,0.00004424762],"domain_scores_gemma":[0.9996044,0.0001435318,0.00004788786,0.00005315464,0.0001288493,0.00002227103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004985167,0.000253767,0.001764345,0.0004308819,0.0001040121,0.0002655152,0.00009411263,0.00323623,0.9659176,0.0002380233,0.0002074687,0.02698963],"study_design_scores_gemma":[0.00003325249,0.004162394,0.0210182,0.00002405624,0.0001919342,0.0007689782,0.0001886825,0.01080017,0.9579162,0.0001169409,0.004754954,0.00002435592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859486,0.005673592,0.002726197,0.00003632779,0.00002395105,0.0000328665,0.0002082709,0.0000660634,0.00528411],"genre_scores_gemma":[0.9889698,0.003251918,0.004768443,0.00002112291,0.00002376449,0.00002178528,0.0003003261,0.00002933056,0.002613541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001728497,"threshold_uncertainty_score":0.005782425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02524602199263412,"score_gpt":0.231501832707951,"score_spread":0.2062558107153169,"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."}}