{"id":"W3047922816","doi":"10.1103/revmodphys.92.035003","title":"Thirty years of <mml:math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" display=\"inline\"><mml:msubsup><mml:mi mathvariant=\"normal\">H</mml:mi><mml:mn>3</mml:mn><mml:mo>+</mml:mo></mml:msubsup></mml:math> astronomy","year":2020,"lang":"lv","type":"article","venue":"Reviews of Modern Physics","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":81,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Comisión Nacional de Investigación Científica y Tecnológica; University College London; Science and Technology Facilities Council; Ministério da Ciência, Tecnologia e Inovação; European Commission; National Research Council Canada; University of Leicester; Ministerio de Ciencia, Tecnología e Innovación Productiva; Korea Astronomy and Space Science Institute; National Science Foundation","keywords":"Physics; Molecular cloud; Atmosphere (unit); Imaging phantom; Atomic physics; Astrophysics; Stars; Thermodynamics; Optics","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":[0.0021148,0.001182601,0.0008547833,0.002140697,0.0008772108,0.003542233,0.002231216,0.001498904,0.05559773],"category_scores_gemma":[0.004443359,0.0008662579,0.001001542,0.004580269,0.001086082,0.005544964,0.002080848,0.00201847,0.05548187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655265,"about_ca_system_score_gemma":0.002089201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006620741,"about_ca_topic_score_gemma":0.006231693,"domain_scores_codex":[0.9986451,0.0001712329,0.0001134699,0.0003624553,0.0006181041,0.000089704],"domain_scores_gemma":[0.9979722,0.0006468206,0.0001748775,0.0003689083,0.0007126929,0.000124471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002116948,0.0001173821,0.0009208207,0.002560696,0.0000574362,0.0002985145,0.0007088283,0.00113579,0.01683344,0.04431773,0.2960275,0.6368101],"study_design_scores_gemma":[0.0000034701,0.00002161723,0.0004017653,0.0001035816,0.000008972173,0.0001284883,0.00004769761,0.0002278601,0.003198152,0.001549539,0.9942934,0.00001543394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01649281,0.2001975,0.1940444,0.01894188,0.008063066,0.0004068985,0.01299355,0.01839742,0.5304625],"genre_scores_gemma":[0.03769561,0.2494224,0.147498,0.005752341,0.003948187,0.0005164305,0.03342925,0.01125398,0.5104839],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.05559773,"threshold_uncertainty_score":0.1859929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222352722994409,"score_gpt":0.2344177916458728,"score_spread":0.2121942644159287,"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."}}