{"id":"W2102269697","doi":"10.1007/s11207-006-2488-9","title":"High-Resolution Infrared Measurements of H2O and SiO in Sunspots","year":2006,"lang":"en","type":"article","venue":"Solar Physics","topic":"Spectroscopy and Laser Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sunspot; Physics; Infrared; Silicon monoxide; Solar observatory; Laser linewidth; Observatory; Water vapor; Spectrometer; Spectral resolution; Resolution (logic); Astrophysics; Infrared spectroscopy; Silicon; Optics; Spectral line; Astronomy; Meteorology; Magnetic field; Optoelectronics","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":[0.0001232241,0.0001803901,0.0001955876,0.0005392871,0.0003641222,0.0003062775,0.0003325703,0.0003840866,0.001031007],"category_scores_gemma":[0.0001717162,0.0001820141,0.0001210294,0.0003315978,0.0002576605,0.0004066295,0.0002947584,0.0003310769,0.0001916097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489906,"about_ca_system_score_gemma":0.00007990264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001533199,"about_ca_topic_score_gemma":0.002691506,"domain_scores_codex":[0.9999321,0.00000451536,0.000002426994,0.0000243688,0.00001914791,0.00001748196],"domain_scores_gemma":[0.9999171,0.0000271001,0.00001201748,0.000008302225,0.00001857121,0.00001685473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001464654,0.0001398698,0.07522085,0.00009886012,0.00005938816,0.000276859,0.0004415704,0.001406693,0.9057774,0.0003848505,0.0004717225,0.01425741],"study_design_scores_gemma":[0.0001600404,0.0002282232,0.8116645,0.00001538538,0.00007660114,0.0003191973,0.0005211752,0.006920742,0.1768142,0.0003915845,0.00285974,0.00002863817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995921,0.0001583097,0.0006053148,0.00002298508,0.000008864507,0.000004936025,0.0001469379,0.00003464751,0.003097059],"genre_scores_gemma":[0.9988046,0.00006468821,0.0005407962,0.00001434438,0.00001260315,0.000003570125,0.0001333683,0.000008276711,0.0004177981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001533199,"threshold_uncertainty_score":0.003449082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01426955936745592,"score_gpt":0.2356604541354958,"score_spread":0.2213908947680399,"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."}}