{"id":"W4393527355","doi":"10.1063/5.0197277","title":"Directed high-energy infrared laser beams for photovoltaic generation of electric power at remote locations","year":2024,"lang":"en","type":"article","venue":"APL Energy","topic":"solar cell performance optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Army Research Office; HORIZON EUROPE Framework Programme; U.S. Air Force; Air Force Office of Scientific Research; Mitacs; Canada Research Chairs; Natural Sciences and Engineering Research Council of Canada; European Commission; Canada Foundation for Innovation","keywords":"Photovoltaic system; Infrared; Laser; Power (physics); Energy (signal processing); Far-infrared laser; Materials science; Optoelectronics; Optics; Environmental science; Remote sensing; Electrical engineering; Engineering physics; Physics; Engineering; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005435701,0.0001537512,0.0001471901,0.000245857,0.00006553419,0.00003320552,0.00008335358,0.0001241773,0.0001034767],"category_scores_gemma":[0.0000222966,0.0001634886,0.00006449044,0.0006278661,0.00001313374,0.000200303,0.0000175191,0.00005109095,0.000009535504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001762685,"about_ca_system_score_gemma":0.00003729499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002016754,"about_ca_topic_score_gemma":0.0001502305,"domain_scores_codex":[0.9991847,0.00001415417,0.0002621747,0.0001988384,0.0001295269,0.000210604],"domain_scores_gemma":[0.9995354,0.00005329722,0.00003241977,0.0002358045,0.00009766305,0.00004537479],"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":[0.00001582456,0.00002006872,0.000008588786,0.00007251208,0.0001157138,0.000001573323,0.00009695598,0.6153982,0.3522131,0.003853709,0.021342,0.006861779],"study_design_scores_gemma":[0.0001377788,0.00003114783,0.0000333537,0.00001647272,0.00002156587,0.000001903776,0.000002038957,0.6810109,0.2992558,0.0003245755,0.01904132,0.0001231685],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1716544,0.002732111,0.8185765,0.0000295612,0.00151047,0.0001861468,0.00003469197,0.001197103,0.004079077],"genre_scores_gemma":[0.9850863,0.000593914,0.009006385,0.00005177796,0.0001937399,0.00006472052,0.0007171469,0.0000874593,0.004198617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8134319,"threshold_uncertainty_score":0.6666871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007418032207999558,"score_gpt":0.1923490672323089,"score_spread":0.1849310350243094,"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."}}