{"id":"W7006392633","doi":"","title":"Ãtude et modélisation des citernes en aluminium pour les véhicules routiers","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Self evaluation; Poison control; ESPACE","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":[0.001003588,0.0007788033,0.000586117,0.00118206,0.001461299,0.003052812,0.001469655,0.002106169,0.008384869],"category_scores_gemma":[0.001785472,0.0004608927,0.0009017075,0.001140838,0.0009885951,0.001978823,0.0007998709,0.0009880963,0.002790344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003471605,"about_ca_system_score_gemma":0.001600667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03042788,"about_ca_topic_score_gemma":0.05255828,"domain_scores_codex":[0.9986166,0.0001214414,0.00004759879,0.0002141334,0.0008617705,0.0001385042],"domain_scores_gemma":[0.9992441,0.0001760749,0.0001079056,0.00006896811,0.0003629503,0.00003999296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007028774,0.0002521174,0.0190754,0.003688514,0.0002217038,0.003363794,0.005429642,0.1143032,0.4331028,0.0438847,0.006878199,0.3690972],"study_design_scores_gemma":[0.0001040241,0.002218799,0.03500123,0.001132148,0.0004283167,0.003082442,0.007395717,0.1492616,0.3857311,0.01091155,0.4043661,0.0003669426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.691267,0.03102249,0.1156881,0.002135128,0.001091471,0.0003315384,0.0006548013,0.001315833,0.1564936],"genre_scores_gemma":[0.796923,0.01008252,0.03360169,0.0002548616,0.0001020099,0.0001316741,0.000426276,0.0002829551,0.1581949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03042788,"threshold_uncertainty_score":0.06050152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006464600555374307,"score_gpt":0.1628850426570709,"score_spread":0.1564204421016966,"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."}}