{"id":"W2972553116","doi":"","title":"Enabling III-V photovoltaics on silicon 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; Silicon; Substrate (aquarium); Materials science; Nanoscopic scale; Optoelectronics; Engineering physics; Nanotechnology; Electrical engineering; 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":[0.001228287,0.0004477802,0.0004252112,0.000202998,0.0001524178,0.0002985274,0.0007914219,0.0003066334,0.00006992268],"category_scores_gemma":[0.0001358197,0.0004542907,0.0001590952,0.0003281892,0.00006428082,0.00009236309,0.0002585912,0.0007593246,0.0000752585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001442492,"about_ca_system_score_gemma":0.0001076795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000222996,"about_ca_topic_score_gemma":0.00024911,"domain_scores_codex":[0.9978507,0.0003372584,0.0004340811,0.0006307666,0.0003357455,0.0004115145],"domain_scores_gemma":[0.9964549,0.0007743622,0.0001773733,0.001913828,0.0005199752,0.0001595705],"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":[0.000061922,0.001402952,0.002358891,0.002615692,0.0008895862,0.00002366496,0.0102229,0.3401152,0.4549608,0.1294638,0.002612663,0.05527189],"study_design_scores_gemma":[0.0005018887,6.758049e-7,0.00106092,0.002853662,0.00006050675,0.000006103618,0.00006976862,0.1703626,0.8009766,0.0002728362,0.02298853,0.0008458958],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8482806,0.001096128,0.09444601,0.0008245906,0.000365251,0.001078787,0.00009433497,0.001275656,0.05253863],"genre_scores_gemma":[0.9893405,0.0005327347,0.007154459,0.00002599006,0.00003588518,0.0001891855,0.0002056301,0.0001290957,0.002386555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3460158,"threshold_uncertainty_score":0.9997909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008838006176023053,"score_gpt":0.1891109379260712,"score_spread":0.1802729317500482,"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."}}