{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009501728,0.0001488313,0.0001664401,0.00003565572,0.00003186651,0.00005911147,0.0001493919,0.0001023438,0.0003875125],"category_scores_gemma":[0.00002445056,0.0001619971,0.00004854689,0.0001285373,0.00001292647,0.0004233464,0.00001902256,0.0001559518,0.0003837104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007995,"about_ca_system_score_gemma":0.00001685238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009267612,"about_ca_topic_score_gemma":0.00004204286,"domain_scores_codex":[0.9992403,0.00001424363,0.0001920957,0.0001572217,0.000147992,0.0002481402],"domain_scores_gemma":[0.9994812,0.00003451409,0.0000441757,0.0003166115,0.00007259848,0.00005092748],"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":[0.0001247572,0.00006430572,0.04779375,0.000136182,0.0001651967,0.00001373346,0.001762656,0.01291091,0.9039805,0.001552643,0.0239636,0.007531795],"study_design_scores_gemma":[0.003243738,0.0002090024,0.02081196,0.0001150519,0.00004766073,0.000009915931,0.0002816014,0.5901044,0.3596188,0.000187732,0.02461692,0.0007531995],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9169832,0.0002230746,0.01056076,0.00002363388,0.001394786,0.0005592533,0.00001632176,0.0005112098,0.06972774],"genre_scores_gemma":[0.9970695,0.00005146722,0.001843231,0.00005091238,0.0001139967,0.00001481699,0.0000408808,0.00004110133,0.000774139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5771935,"threshold_uncertainty_score":0.6606051,"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."}}