{"id":"W2999618949","doi":"10.1364/osac.378248","title":"Tracking-free adaptive contact concentration photovoltaics","year":2019,"lang":"en","type":"article","venue":"OSA Continuum","topic":"solar cell performance optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photovoltaics; Tracking (education); Solar cell; Sunlight; Optoelectronics; Reliability (semiconductor); Electrode; Materials science; Photovoltaic system; Limit (mathematics); Solar tracker; Computer science; Optics; Electrical engineering; Power (physics); Engineering; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001171811,0.000207637,0.0002524425,0.0002901736,0.0003526122,0.0006785021,0.000851452,0.0005604851,0.002913996],"category_scores_gemma":[0.0002228987,0.0001240273,0.0001713262,0.0004539231,0.0003340699,0.0005429931,0.0005166008,0.0004610858,0.0008767908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006127969,"about_ca_system_score_gemma":0.0002804189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006180922,"about_ca_topic_score_gemma":0.001015011,"domain_scores_codex":[0.9997527,0.00001198248,0.000007322745,0.0000544999,0.0001487932,0.00002480496],"domain_scores_gemma":[0.9998825,0.00001639664,0.00001449619,0.00002849376,0.00004762228,0.00001045864],"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":[0.0001432098,0.0000575007,0.0006556502,0.0001905456,0.00001021514,0.0001694531,0.00006629244,0.006901512,0.856041,0.01653104,0.002987575,0.116246],"study_design_scores_gemma":[0.0000323597,0.0004964813,0.003301826,0.00002921153,0.0000187492,0.001031404,0.00003771654,0.08184086,0.8555654,0.004558921,0.05304275,0.00004435448],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4603382,0.003692256,0.4171005,0.0007061557,0.0004798322,0.0003393233,0.0007487886,0.004078893,0.1125162],"genre_scores_gemma":[0.9419232,0.0007230482,0.03916161,0.00009834678,0.00005102821,0.00005792006,0.00019578,0.00007994028,0.01770918],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002913996,"threshold_uncertainty_score":0.00974822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00595139004494084,"score_gpt":0.1767315789232191,"score_spread":0.1707801888782782,"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."}}