{"id":"W2991015544","doi":"10.1007/978-3-030-01376-9","title":"Symmetries, Differential Equations and Applications","year":2018,"lang":"en","type":"book","venue":"Springer proceedings in mathematics & statistics","topic":"Advanced Physical and Chemical Molecular Interactions","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Homogeneous space; Ranging; Calculus (dental); Computer science; Volume (thermodynamics); Applied mathematics; Theoretical physics; Mathematics; Physics; Medicine; Geometry; Quantum mechanics; Telecommunications","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000371563,0.00041031,0.0004858032,0.0001307743,0.0001279855,0.0001234089,0.0002931337,0.000302871,0.0005256503],"category_scores_gemma":[0.0004455632,0.0004267378,0.00007053751,0.0001024346,0.0002934824,0.00007553458,0.0002484772,0.0007307732,0.00009179214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002191576,"about_ca_system_score_gemma":0.00008234187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002372061,"about_ca_topic_score_gemma":0.00000494763,"domain_scores_codex":[0.9981865,0.000001662041,0.0006149871,0.0005005259,0.0003647367,0.0003316304],"domain_scores_gemma":[0.9984128,0.0004390769,0.0003904418,0.0002416884,0.0003722316,0.0001436957],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001052807,0.0004025124,0.00001002088,0.003902531,0.0001445148,0.000006287374,0.0004658905,8.97126e-7,0.005948768,0.9676136,0.0167563,0.00473812],"study_design_scores_gemma":[0.000261219,0.00002023721,0.00000253535,0.0006677973,0.0002150954,0.000007527066,0.00009704667,0.001479259,0.003233779,0.7797676,0.2136458,0.0006020917],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002456226,0.0003007497,0.3597913,0.00003795234,0.0001174509,0.0005598082,0.001281143,0.000216183,0.6374497],"genre_scores_gemma":[0.003748482,0.0004436303,0.18002,0.00009138574,0.001894371,0.0008383603,0.0008994657,0.0003635985,0.8117006],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1968895,"threshold_uncertainty_score":0.9998184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097519583940312,"score_gpt":0.2549343595094673,"score_spread":0.2439591636700642,"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."}}