{"id":"W2619450272","doi":"10.1038/ncomms15731","title":"Turbulence hierarchy in a random fibre laser","year":2017,"lang":"en","type":"article","venue":"Nature Communications","topic":"Random lasers and scattering media","field":"Physics and Astronomy","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Turbulence; Statistical physics; Random laser; Physics; Gaussian; Laser; Probability distribution; Exponential distribution; Optics; Mechanics; Quantum mechanics; Mathematics; Statistics; Lasing threshold","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001797249,0.00008813866,0.0001454336,0.0000434384,0.0004545099,0.0001135055,0.001427622,0.0000717463,0.00009089257],"category_scores_gemma":[0.00005532567,0.00007785654,0.00006852271,0.00005256254,0.0001382161,0.000169294,0.000292782,0.0006905139,0.00003661545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001086194,"about_ca_system_score_gemma":0.00004219428,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001678327,"about_ca_topic_score_gemma":0.0002257076,"domain_scores_codex":[0.9994452,0.00006341783,0.0001369628,0.0001254613,0.00008120493,0.0001477742],"domain_scores_gemma":[0.9974352,0.0001791877,0.00009186465,0.002205063,0.0000374639,0.00005129189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002369604,0.000631244,0.8511946,0.00002143802,0.0001336454,0.000007454026,0.00208473,0.0001130812,0.0009414169,0.06350511,0.02341786,0.05771243],"study_design_scores_gemma":[0.01553779,0.0000404675,0.6156799,0.0003378719,0.00006125319,0.00000299983,0.0003651459,0.004725602,0.002312698,0.01917448,0.3409292,0.000832643],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8258448,0.001688987,0.0004039132,0.01911014,0.0005424771,0.0006009658,0.0001059295,0.00005744114,0.1516454],"genre_scores_gemma":[0.9977394,0.0000543864,0.00133334,0.00009709164,0.00009276631,0.00006226942,0.00004787012,0.000008913859,0.0005639945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3175113,"threshold_uncertainty_score":0.3495769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01471046012773706,"score_gpt":0.2960945353356616,"score_spread":0.2813840752079245,"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."}}