{"id":"W2525069818","doi":"10.1103/physreve.95.012219","title":"Analysis of thermodiffusive cellular instabilities in continuum combustion fronts","year":2017,"lang":"en","type":"article","venue":"Physical review. E","topic":"Combustion and flame dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Instability; Lewis number; Combustion; Linear stability; Statistical physics; Nonlinear system; Pattern formation; Stability (learning theory); Amplitude; Physics; Range (aeronautics); Mechanics; Chemistry; Computer science; Materials science","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":[0.0002074166,0.0002987871,0.0002871849,0.0007581857,0.0003740471,0.0007358702,0.0005093594,0.000476631,0.0006802402],"category_scores_gemma":[0.0008158669,0.0001146978,0.0004892491,0.0003174289,0.0008128944,0.0004277301,0.0005518771,0.0003802369,0.00006959978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000798594,"about_ca_system_score_gemma":0.0004181321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003432869,"about_ca_topic_score_gemma":0.001464178,"domain_scores_codex":[0.9999301,0.00001045063,0.000003493075,0.00001141439,0.00002642213,0.00001812431],"domain_scores_gemma":[0.9997186,0.0001102143,0.00007351607,0.00002323299,0.00004794565,0.00002651386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001412867,0.0001246394,0.01075031,0.0001154403,0.00004371306,0.0004628418,0.0003622948,0.859324,0.08875994,0.02868985,0.0001621655,0.01106349],"study_design_scores_gemma":[0.000008136242,0.0000177667,0.001202437,0.000003721457,0.000003443,0.00003148503,0.00002617674,0.9931296,0.003986717,0.001466446,0.0001173524,0.000006664094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556348,0.0002096685,0.04051864,0.0001024667,0.00001054201,0.00004168032,0.00007172515,0.00007706088,0.003333438],"genre_scores_gemma":[0.9947179,0.00006121281,0.004587037,0.00001052799,0.000002804383,0.00001762939,0.00002405592,0.000007139347,0.0005716164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003432869,"threshold_uncertainty_score":0.006825805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01182151622831157,"score_gpt":0.2807726691925152,"score_spread":0.2689511529642036,"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."}}