{"id":"W4404970227","doi":"10.1016/j.solmat.2024.113320","title":"Fabrication and characterization of high performance sub-millimetric InGaP/InGaAs/Ge solar cells","year":2024,"lang":"en","type":"article","venue":"Solar Energy Materials and Solar Cells","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; Université Grenoble Alpes; Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke; Indian National Science Academy; Ecolab","keywords":"Fabrication; Characterization (materials science); Optoelectronics; Materials science; Nanotechnology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000205783,0.0002439517,0.0003640444,0.0002332072,0.000321424,0.0005518066,0.0004106958,0.0004177014,0.0008273599],"category_scores_gemma":[0.0002574729,0.0001490384,0.0001328913,0.0003024057,0.0002385028,0.0002566529,0.0001889109,0.0003949131,0.0002845698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002903989,"about_ca_system_score_gemma":0.0002075391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007966096,"about_ca_topic_score_gemma":0.001194039,"domain_scores_codex":[0.9998492,0.000007760895,0.000009068302,0.00002925765,0.00008340263,0.00002125797],"domain_scores_gemma":[0.9998597,0.00003691385,0.00002411197,0.00002934016,0.00003896044,0.00001104189],"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":[0.000009799583,0.000009201959,0.0002796111,0.00002674642,0.0000028863,0.00004285208,0.00002994034,0.0003510182,0.9979175,0.00004469836,0.00003952559,0.001246317],"study_design_scores_gemma":[0.000002647296,0.00006404913,0.004293638,0.000001925881,0.000004453116,0.000064771,0.00002647404,0.00100754,0.9935803,0.0000340115,0.0009165213,0.000003647142],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846271,0.0005317109,0.01138794,0.00006134455,0.00001756288,0.00007818161,0.001116247,0.0001471165,0.002032831],"genre_scores_gemma":[0.9762298,0.0005223818,0.02044341,0.00003792973,0.000006915229,0.0001001162,0.0005789347,0.00004767619,0.002032872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008273599,"threshold_uncertainty_score":0.002767861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004702265654967331,"score_gpt":0.166065035550673,"score_spread":0.1613627698957056,"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."}}