{"id":"W4294760602","doi":"10.1063/5.0099470","title":"Unlocking the potential for extreme solar concentration via subcell segmentation","year":2022,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"solar cell performance optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Suns in alchemy; Photovoltaic system; Materials science; Equivalent series resistance; Optoelectronics; Current (fluid); Segmentation; Matching (statistics); Voltage; Computer science; Electrical engineering; Mathematics; Artificial intelligence; Engineering","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":[0.0002340288,0.0001312863,0.00009304332,0.00004137929,0.0004568378,0.0001416571,0.0001860717,0.00003827324,0.0001978759],"category_scores_gemma":[0.0000117106,0.0001272082,0.00004097015,0.0001865667,0.00002585264,0.0004306216,0.00004241869,0.0001764552,0.000007735982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001464883,"about_ca_system_score_gemma":0.0000293487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005942219,"about_ca_topic_score_gemma":0.000001443202,"domain_scores_codex":[0.9991359,0.000006929126,0.000201653,0.0001746101,0.0002331744,0.0002478058],"domain_scores_gemma":[0.9996641,0.00001630373,0.00007403023,0.00006791312,0.0001448447,0.0000328342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009406819,0.00005397473,0.007750622,0.0002127785,0.00007582924,0.000001109714,0.008561776,0.1338493,0.8222135,0.00136058,0.003478887,0.02234753],"study_design_scores_gemma":[0.0003667646,0.00006456266,0.0003098486,0.000006343319,0.00002883816,0.000007969172,0.001422605,0.9871132,0.00900307,0.0004256525,0.001091108,0.0001600191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2248976,0.0001142046,0.7713772,0.0002534465,0.0006711424,0.0009504722,0.00001057293,0.0003230798,0.001402252],"genre_scores_gemma":[0.9962233,0.00004931039,0.002978351,0.00009098356,0.0001186972,0.0003396245,0.00007944743,0.00003194919,0.00008837502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8532639,"threshold_uncertainty_score":0.5187398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808252842184806,"score_gpt":0.2086646583678684,"score_spread":0.1905821299460203,"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."}}