{"id":"W7029958547","doi":"","title":"MÃ©thode numÃ©rique d'analyse des contraintes pour les matÃ©riaux anisotropes et non linÃ©aires","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Set (abstract data type); Normative; Identification (biology); Perspective (graphical)","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":[0.00292397,0.003082338,0.002972253,0.002361699,0.001674376,0.005439685,0.003356373,0.00311678,0.09394645],"category_scores_gemma":[0.01123013,0.001244715,0.002318569,0.001932022,0.001773454,0.003325094,0.0028627,0.007146719,0.03387228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004477463,"about_ca_system_score_gemma":0.003608009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01743804,"about_ca_topic_score_gemma":0.01811864,"domain_scores_codex":[0.9971909,0.0006775731,0.0001033067,0.0003020306,0.001544691,0.0001815781],"domain_scores_gemma":[0.9942278,0.003095529,0.000199015,0.0006784859,0.001552295,0.0002468799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004025175,0.0001534675,0.001200415,0.001139028,0.000347011,0.0003090833,0.0005024507,0.07085027,0.008646359,0.5053801,0.1212378,0.2898315],"study_design_scores_gemma":[0.0001363453,0.00004047231,0.001503794,0.0002390825,0.00004979908,0.000159186,0.00007093621,0.6868375,0.007993165,0.1212239,0.1816713,0.0000745754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0059765,0.001952368,0.8930508,0.001982481,0.003002036,0.0002623475,0.003246254,0.003158052,0.08736916],"genre_scores_gemma":[0.06380111,0.003330013,0.6152936,0.001185833,0.002084434,0.002594337,0.004418946,0.01560009,0.2916916],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.09394645,"threshold_uncertainty_score":0.3142822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005935494290837755,"score_gpt":0.171490807332414,"score_spread":0.1655553130415762,"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."}}