{"id":"W4301443701","doi":"","title":"Thermal Behaviours and Ageing of GaAs and InGaP Solar Cells for Thermal - CPV Hybrid Energy systems","year":2017,"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":"Thermal; Materials science; Optoelectronics; Ageing; Engineering physics; Gallium arsenide; Physics; Meteorology","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":[0.001702749,0.0002809423,0.0003630242,0.0001515418,0.0002711564,0.0003640245,0.0004935248,0.0002122656,0.000009026597],"category_scores_gemma":[0.0001315858,0.0003127925,0.00008571442,0.00005187831,0.0001649949,0.0002005977,0.0004794722,0.0002953341,7.916713e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004919636,"about_ca_system_score_gemma":0.00005446494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009025588,"about_ca_topic_score_gemma":0.0001666587,"domain_scores_codex":[0.998267,0.000513165,0.0003890175,0.0003790288,0.0001881881,0.0002636307],"domain_scores_gemma":[0.9975911,0.0003259658,0.0003561156,0.001092337,0.0005333634,0.0001011684],"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":[0.00009611068,0.0006587643,0.01170335,0.006871743,0.0009109123,0.00003404934,0.0287939,0.4231682,0.2574605,0.007817236,0.001112162,0.2613731],"study_design_scores_gemma":[0.0004178358,6.482055e-7,0.001805578,0.001228476,0.00007842958,0.000004561261,0.00005853436,0.8792962,0.1160575,0.00005861712,0.0006400021,0.0003537072],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8244219,0.00382233,0.164201,0.0001304508,0.0005055707,0.0005415278,0.000133309,0.0002024464,0.006041491],"genre_scores_gemma":[0.9850522,0.001472651,0.01253328,0.000005143764,0.0000324651,0.00007314202,0.0002585645,0.00007756357,0.0004950087],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.456128,"threshold_uncertainty_score":0.9999324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01082834624092686,"score_gpt":0.2003704462726002,"score_spread":0.1895421000316733,"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."}}