{"id":"W7035946128","doi":"","title":"Application de la mÃ©thode des Ã©lÃ©ments finis aux Ã©quations de Saint-Venant","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Finite element method; Deformation (meteorology); Constraint (computer-aided design); Displacement (psychology); Context (archaeology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004114808,0.001251877,0.000692509,0.00269208,0.003181989,0.007048514,0.001122798,0.002220582,0.06540298],"category_scores_gemma":[0.01672179,0.0004660893,0.001363207,0.002640934,0.001495926,0.002421485,0.001940301,0.002491195,0.01344236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01064483,"about_ca_system_score_gemma":0.009399114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3117987,"about_ca_topic_score_gemma":0.2180667,"domain_scores_codex":[0.9956307,0.001541753,0.0002072999,0.0006032392,0.001749835,0.0002670915],"domain_scores_gemma":[0.9945359,0.001477521,0.0002082674,0.0006896695,0.002839345,0.0002492644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004794076,0.0001572006,0.006648496,0.0006875237,0.00008843555,0.0005682567,0.003590114,0.01250616,0.006417756,0.2577794,0.1271172,0.5839601],"study_design_scores_gemma":[0.00006488871,0.0000500604,0.01076072,0.0003543924,0.00002737789,0.0003941972,0.001023245,0.0219261,0.008157618,0.01237213,0.9448117,0.00005763236],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.08782585,0.01418972,0.2533794,0.02754384,0.0110846,0.0007258213,0.009057184,0.005989728,0.590204],"genre_scores_gemma":[0.219061,0.008791541,0.1396774,0.001010927,0.001640083,0.000476484,0.00373264,0.001605927,0.624004],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3117987,"threshold_uncertainty_score":0.6199677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0053317694881048,"score_gpt":0.1885893862778248,"score_spread":0.18325761678972,"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."}}