{"id":"W2973227593","doi":"","title":"Towards cost-effective III-V photovoltaics with nanoscale substrate engineering","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Nanowire Synthesis and Applications","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); Nanoscopic scale; Materials science; Nanotechnology; Computer science; Engineering; Electrical engineering; Photovoltaic system; Geology","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":[0.001384947,0.0004789551,0.0004928354,0.0001712676,0.000143101,0.000288748,0.0008452876,0.0003336706,0.00007658861],"category_scores_gemma":[0.0001436304,0.0004848941,0.0001831762,0.0003733104,0.0000934054,0.0001151398,0.0003774726,0.0007600739,0.00006112843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002115394,"about_ca_system_score_gemma":0.0001494086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004019681,"about_ca_topic_score_gemma":0.0004324412,"domain_scores_codex":[0.9977052,0.0004803483,0.0004147668,0.0006331532,0.0003345911,0.000431902],"domain_scores_gemma":[0.9963912,0.0006658006,0.0001820824,0.001785542,0.0007919621,0.0001833778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009123439,0.001942359,0.004297587,0.004434465,0.002210132,0.00004025135,0.02092713,0.2079102,0.2493015,0.1506229,0.005256796,0.3529655],"study_design_scores_gemma":[0.0007380728,7.291174e-7,0.0043236,0.002479807,0.0001209175,0.00001282051,0.00007516884,0.204222,0.7356528,0.0004701452,0.05079533,0.001108666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3610997,0.001735809,0.5464166,0.0009581216,0.0005302766,0.004441136,0.0002385267,0.001652982,0.08292692],"genre_scores_gemma":[0.9792848,0.0004860628,0.01674049,0.00001831952,0.0000331032,0.001242416,0.0002785408,0.0001351007,0.001781209],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6181851,"threshold_uncertainty_score":0.9997603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008101117470990637,"score_gpt":0.1992849347565109,"score_spread":0.1911838172855203,"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."}}