{"id":"W4412989343","doi":"10.1103/physics.18.106","title":"Laser Cooling is Optimized for Efficiency","year":2025,"lang":"en","type":"article","venue":"Physics","topic":"Optical properties and cooling technologies in crystalline materials","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Laser; Materials science; Laser cooling; Optoelectronics; Optics; Nuclear engineering; Environmental science; Physics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002656307,0.0005303866,0.0007810631,0.0004353732,0.0009584639,0.001307339,0.000706683,0.0005288445,0.00709364],"category_scores_gemma":[0.0005675588,0.0003551145,0.0002120448,0.0005290196,0.0006365366,0.000878704,0.000626917,0.0006471993,0.002515069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259613,"about_ca_system_score_gemma":0.001270842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001154284,"about_ca_topic_score_gemma":0.001915335,"domain_scores_codex":[0.9996196,0.00001945498,0.0000176779,0.000118785,0.0001336369,0.00009092277],"domain_scores_gemma":[0.9997291,0.00004160366,0.00005822864,0.00003614168,0.0001149157,0.00001996352],"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":[0.0001410646,0.00005179676,0.001307325,0.0001455488,0.00002411543,0.00004445568,0.00009435001,0.005156519,0.9619238,0.01597585,0.003705043,0.01143012],"study_design_scores_gemma":[0.0000377602,0.00008533528,0.002337534,0.00002770719,0.00002437635,0.0001239783,0.00004545797,0.02113061,0.9468674,0.00166128,0.02762763,0.00003089988],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7112575,0.002596712,0.1335398,0.001669214,0.0005725287,0.0003906919,0.001770301,0.003748735,0.1444547],"genre_scores_gemma":[0.9420207,0.0007769736,0.02975845,0.0002303196,0.0000692309,0.0002587341,0.0005767395,0.001647054,0.02466179],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00709364,"threshold_uncertainty_score":0.02373058,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01816984627043208,"score_gpt":0.2813095854600608,"score_spread":0.2631397391896287,"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."}}