{"id":"W4394498729","doi":"10.6084/m9.figshare.16589867","title":"Data for Slow Light Nanocoatings for Ultrashort Pulse Compression","year":2023,"lang":"en","type":"dataset","venue":"Figshare","topic":"Quantum optics and atomic interactions","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Materials science; Ultrashort pulse; Compression (physics); Pulse compression; Pulse (music); Optoelectronics; Optics; Computer science; Composite material; Physics; Telecommunications; Laser","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001410135,0.002337164,0.001359431,0.00299133,0.00214095,0.001079478,0.002079386,0.001607652,0.2682092],"category_scores_gemma":[0.004949397,0.001268385,0.001127107,0.004605411,0.0004989488,0.002100311,0.001123502,0.003458128,0.0653857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001823957,"about_ca_system_score_gemma":0.001266262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00439673,"about_ca_topic_score_gemma":0.007336993,"domain_scores_codex":[0.9984741,0.00009840492,0.0001803886,0.0002534627,0.000730496,0.000263113],"domain_scores_gemma":[0.9964257,0.001013509,0.0003980991,0.0008765104,0.0009013169,0.0003848843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001881916,0.000389694,0.003294511,0.00336476,0.0003179362,0.0004464473,0.0003131395,0.0022205,0.2583598,0.006963619,0.6784259,0.04402174],"study_design_scores_gemma":[0.0003787149,0.0004895414,0.01239313,0.000321834,0.0001444947,0.0007952595,0.0002074817,0.008901033,0.3956523,0.00478253,0.5756248,0.0003088358],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04497671,0.001545994,0.0332034,0.001719183,0.00316782,0.0003749935,0.820501,0.0283431,0.06616776],"genre_scores_gemma":[0.08549435,0.002352348,0.03906453,0.0007679549,0.0002463325,0.00206749,0.8197194,0.008701227,0.04158651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2682092,"threshold_uncertainty_score":0.8972491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07798783078034345,"score_gpt":0.3486136047906621,"score_spread":0.2706257740103186,"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."}}