{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001952655,0.0001802524,0.0001793426,0.0001360904,0.0003326397,0.0001034461,0.0001813355,0.00003714667,0.0006935065],"category_scores_gemma":[0.000006498991,0.0002074765,0.0000315027,0.0004184612,0.00001935445,0.0005528218,0.00008828464,0.0003432907,0.00008185703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001659145,"about_ca_system_score_gemma":0.00002849334,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001120376,"about_ca_topic_score_gemma":0.000003226364,"domain_scores_codex":[0.9989888,0.00001217317,0.0002296068,0.0002446959,0.0002980074,0.0002267334],"domain_scores_gemma":[0.9996245,0.00001322795,0.00006778246,0.00009355314,0.0001457059,0.00005524328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002772062,0.001560918,0.4374487,0.0003385257,0.0002697185,0.000009650754,0.2217087,0.2020901,0.1149205,0.0003800864,0.01762614,0.003369721],"study_design_scores_gemma":[0.0006150207,0.0002990877,0.004439157,0.000004816755,0.00002605284,0.000004422622,0.01859663,0.9728798,0.000895127,0.00003373733,0.001959322,0.0002468764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9453426,0.00006316088,0.03049294,0.00003613663,0.0004772509,0.0008530382,0.00000515673,0.0006283292,0.0221014],"genre_scores_gemma":[0.9974627,0.00001298178,0.00175512,0.00002581598,0.00005806386,0.0002793617,0.00001923985,0.00002798455,0.0003586735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7707896,"threshold_uncertainty_score":0.8460646,"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."}}