{"id":"W4400932794","doi":"","title":"Nanoscale substrate engineering for cost-effective III-V solar cells","year":2021,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"solar cell performance optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Sherbrooke","funders":"","keywords":"Nanoscopic scale; Substrate (aquarium); Materials science; Nanotechnology; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.001060053,0.0001881958,0.0001888829,0.00008988458,0.0001596764,0.000159124,0.0002405538,0.0001194894,0.00007185518],"category_scores_gemma":[0.0002452929,0.0002295768,0.0001020421,0.000401257,0.00003439947,0.0002395456,0.00007078075,0.0001879529,0.00003018881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015157,"about_ca_system_score_gemma":0.0000460484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002363352,"about_ca_topic_score_gemma":0.0001565026,"domain_scores_codex":[0.9986928,0.0003010699,0.0002528254,0.0002895796,0.0001481097,0.0003156844],"domain_scores_gemma":[0.9978192,0.0005994704,0.00006051202,0.0006180232,0.0007948625,0.0001079356],"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":[0.00002296243,0.0003941129,0.001127857,0.0006043832,0.0002280449,0.00001296728,0.008091123,0.2416981,0.6556414,0.00827783,0.002267554,0.08163363],"study_design_scores_gemma":[0.0003639993,1.719481e-7,0.0003338192,0.0001232099,0.0000129822,0.000003356708,0.00003268087,0.4728429,0.5147496,0.00002622223,0.01135595,0.0001550853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1142948,0.0005645484,0.8725085,0.0002755035,0.0003958202,0.0008885883,0.00003080755,0.000494912,0.01054651],"genre_scores_gemma":[0.8688909,0.0006288936,0.1272924,0.00003551126,0.00003817915,0.0004431822,0.0003365892,0.0001007022,0.002233631],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7545961,"threshold_uncertainty_score":0.9361872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006649299657472864,"score_gpt":0.188995968290676,"score_spread":0.1823466686332032,"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."}}