{"id":"W4287872822","doi":"","title":"Towards cost effective III-V photovoltaics with advanced substrate engineering","year":2019,"lang":"en","type":"preprint","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":"Photovoltaics; Substrate (aquarium); Materials science; Computer science; Engineering physics; Engineering; Electrical engineering; Photovoltaic system","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001381468,0.0004953372,0.0004539531,0.0002193467,0.000115899,0.0002780858,0.0006714212,0.0003368567,0.00006128509],"category_scores_gemma":[0.0001897557,0.0005321545,0.0001241422,0.0004202299,0.0000733213,0.0002657436,0.0003601123,0.0009367077,0.00004377386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003237631,"about_ca_system_score_gemma":0.0001415127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521599,"about_ca_topic_score_gemma":0.0002564521,"domain_scores_codex":[0.9977774,0.000444407,0.0003941556,0.0005831057,0.0003603937,0.0004405558],"domain_scores_gemma":[0.996704,0.0003938583,0.00020652,0.001539662,0.001004277,0.0001517223],"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":[0.00002707905,0.0001003196,0.001082328,0.000693001,0.0001826557,0.000005485368,0.003536681,0.9592007,0.00732512,0.001190037,0.0001231318,0.02653348],"study_design_scores_gemma":[0.0007645896,7.159521e-7,0.00252372,0.001649651,0.00004854504,0.000006782506,0.00004441065,0.8690202,0.1223705,0.00003822854,0.002943716,0.0005889788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2854796,0.001012407,0.6675441,0.0001359963,0.0006184984,0.002516387,0.00005787385,0.001155641,0.04147944],"genre_scores_gemma":[0.9143078,0.001002784,0.08245946,0.00001594403,0.00002695268,0.0005298296,0.0006558123,0.0001714754,0.000829917],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6288282,"threshold_uncertainty_score":0.999713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005388000917777377,"score_gpt":0.1885179742652685,"score_spread":0.1831299733474911,"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."}}