{"id":"W7010817800","doi":"","title":"Ãlaboration d'une approche a base d'agents mobiles pour une interopÃ©rablitÃ© dans un environnement dynamique et application Ã  l'Ã©vacuation aÃ©romÃ©dicale","year":2001,"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":"Base (topology); Set (abstract data type); Task (project management); Process (computing); Focus (optics); Field (mathematics); Context (archaeology); Matching (statistics)","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":[0.001553894,0.0009152226,0.0006382546,0.0005155538,0.001649858,0.003913691,0.001487107,0.002464495,0.01751203],"category_scores_gemma":[0.002854712,0.0007143119,0.0007968696,0.0004020854,0.0007789436,0.00239377,0.002272575,0.001881296,0.004573272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069856,"about_ca_system_score_gemma":0.001909512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01590233,"about_ca_topic_score_gemma":0.01842036,"domain_scores_codex":[0.9985097,0.0002923525,0.00007895847,0.0002833075,0.0006725143,0.0001631718],"domain_scores_gemma":[0.9988543,0.0002634143,0.00003804029,0.0003592062,0.0003674956,0.0001176316],"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":[0.001695899,0.0008561545,0.00240709,0.0007569781,0.0001859091,0.002096188,0.002986373,0.03957282,0.1030274,0.09312532,0.06610183,0.6871879],"study_design_scores_gemma":[0.0004060927,0.0003978555,0.001511342,0.000213613,0.0001488592,0.001023119,0.0007488548,0.3603419,0.06106903,0.01509889,0.5589434,0.00009704891],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05012026,0.001105641,0.8604217,0.00183501,0.0008096918,0.0005516203,0.0003512383,0.01820898,0.06659599],"genre_scores_gemma":[0.2969419,0.0008428321,0.4934231,0.0006742554,0.0001530395,0.0004615001,0.0009834986,0.001711854,0.204808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01751203,"threshold_uncertainty_score":0.05858356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004001336014286036,"score_gpt":0.1627304479060088,"score_spread":0.1587291118917228,"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."}}