{"id":"W7010137461","doi":"","title":"Génération d'ondes internes par collisions frontales","year":2021,"lang":"fr","type":"other","venue":"Sémaphore (Université du Québec à Rimouski)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Froude number; Caldera; Richardson number; Fjord; Collision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000195624,0.0004409796,0.0004764039,0.0004313462,0.0007338081,0.0008578656,0.0006494905,0.0007257392,0.004043699],"category_scores_gemma":[0.000741184,0.0003926716,0.000618385,0.000523939,0.0005087946,0.0005495428,0.0009009363,0.0005916362,0.0003311289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001446124,"about_ca_system_score_gemma":0.0009791842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05158495,"about_ca_topic_score_gemma":0.038931,"domain_scores_codex":[0.9998517,0.00001180208,0.000009714651,0.00003291656,0.00004274263,0.00005094829],"domain_scores_gemma":[0.9997941,0.0000598894,0.0000344942,0.00002625913,0.00004666491,0.00003862762],"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":[0.0002725862,0.0001473727,0.1169269,0.0001248747,0.0001307748,0.001118008,0.0004182007,0.8453643,0.02147975,0.001455669,0.0007341685,0.01182744],"study_design_scores_gemma":[0.00011295,0.0001385069,0.05648457,0.00002649222,0.00005471812,0.0003066659,0.0005190055,0.9325354,0.005741379,0.000889131,0.003140092,0.00005110129],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884005,0.00005281366,0.00721046,0.00006171216,0.00002636819,0.00003415898,0.0004444856,0.0001383193,0.003631133],"genre_scores_gemma":[0.996356,0.00003820411,0.001775645,0.00001290303,0.000004539064,0.00002182034,0.0004163073,0.00002705937,0.001347458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05158495,"threshold_uncertainty_score":0.1025694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009598005126669286,"score_gpt":0.2010766368746678,"score_spread":0.1914786317479985,"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."}}