{"id":"W4284672536","doi":"10.1017/jfm.2022.513","title":"Wavenumber lock-in and spatial parametric resonance in convection","year":2022,"lang":"en","type":"article","venue":"Journal of Fluid Mechanics","topic":"Nonlinear Dynamics and Pattern Formation","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wavenumber; Convection; Prandtl number; Instability; Physics; Rayleigh number; Resonance (particle physics); Wavelength; Mechanics; Natural convection; Atomic physics; Optics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007499606,0.0000465563,0.0001046812,0.0002906093,0.00003710088,0.00002891999,0.0001829077,0.0000218251,0.000007031674],"category_scores_gemma":[0.00002678978,0.0000470104,0.00002511846,0.0004558689,0.000002317074,0.0002152422,0.0001019225,0.000240321,0.000001056916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001123796,"about_ca_system_score_gemma":0.00004806968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006147986,"about_ca_topic_score_gemma":0.00007320022,"domain_scores_codex":[0.9992393,0.0000723875,0.0002836835,0.00007614132,0.0002325865,0.00009592567],"domain_scores_gemma":[0.999662,0.00003320631,0.0001548277,0.00008546349,0.00003636175,0.00002810178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003235707,0.0007784208,0.0235495,0.00008821307,0.00002866465,0.0007247595,0.00508353,0.03971741,0.009488287,0.0553694,0.0004669407,0.8643813],"study_design_scores_gemma":[0.0005259025,0.0001898341,0.003572752,0.00001432762,0.000001169042,0.000233686,0.00003491759,0.9885698,0.0002624352,0.004954117,0.001585489,0.00005558663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6804938,0.0003147289,0.3181588,0.0003182764,0.0006327278,0.00005403193,0.000002023918,0.000003638878,0.00002197817],"genre_scores_gemma":[0.9972674,0.0001187666,0.002457454,0.0001044374,0.00003437411,0.000001452855,5.969354e-7,0.000003252752,0.00001227919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9488524,"threshold_uncertainty_score":0.1917029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009124273465885204,"score_gpt":0.2198877293403178,"score_spread":0.2107634558744325,"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."}}