{"id":"W7027462431","doi":"","title":"DÃ©veloppement d'un modÃ¨le numÃ©rique gÃ©nÃ©ral de comportement des gÃ©omatÃ©riaux","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Work (physics); Identification (biology); 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":[0.000661757,0.0004974462,0.0003114372,0.001755669,0.002058526,0.003579068,0.001018374,0.000841715,0.03716702],"category_scores_gemma":[0.001982606,0.0002690979,0.0004367047,0.001336923,0.00128819,0.001997965,0.001196935,0.0009609497,0.007656931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007152101,"about_ca_system_score_gemma":0.003103306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09804418,"about_ca_topic_score_gemma":0.1016121,"domain_scores_codex":[0.9993492,0.00006033686,0.00002336755,0.000170153,0.0002897255,0.0001072164],"domain_scores_gemma":[0.999055,0.0001587327,0.0001267883,0.0001272696,0.0003965589,0.0001355768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000736021,0.00007319181,0.02806916,0.0002572846,0.0000513377,0.001109062,0.003036543,0.005738441,0.04142823,0.4279155,0.04190549,0.4496798],"study_design_scores_gemma":[0.00005306862,0.0001203188,0.1790585,0.0001243821,0.00005154975,0.00283942,0.002411043,0.01426709,0.0399342,0.04930153,0.7117335,0.000105431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.306394,0.003162285,0.06281104,0.003027523,0.001073016,0.00009618713,0.003482737,0.00158177,0.6183715],"genre_scores_gemma":[0.5575953,0.001063947,0.02576054,0.0001761195,0.0002162464,0.00005191166,0.001425915,0.0004698372,0.4132402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09804418,"threshold_uncertainty_score":0.194947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008515222918163392,"score_gpt":0.1719078288230083,"score_spread":0.1633926059048449,"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."}}