{"id":"W7037196183","doi":"","title":"Des morts sur la Miramichi: réactions de la population à l'arrivée d'immigrants malades au Nouveau-Brunswick au milieu du XIXe siècle","year":2019,"lang":"fr","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Population; State (computer science); Nationality; Plague (disease); Ile de france","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001427462,0.0002001203,0.0002018971,0.0007223007,0.002802738,0.001803399,0.0007888148,0.0009385532,0.003949734],"category_scores_gemma":[0.004571203,0.0002113934,0.0002310824,0.001032011,0.002007776,0.0007547577,0.002081897,0.001755683,0.00041102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005191345,"about_ca_system_score_gemma":0.004587549,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5666608,"about_ca_topic_score_gemma":0.6694007,"domain_scores_codex":[0.9991245,0.0002608954,0.00003485841,0.00005831821,0.0001630765,0.0003583506],"domain_scores_gemma":[0.9969995,0.0007121534,0.0008039042,0.00007459535,0.0007526746,0.0006571297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003610524,0.00008081832,0.7144856,0.0001363666,0.00004257218,0.000766261,0.2567427,0.000132796,0.00145134,0.002157017,0.003669913,0.01997362],"study_design_scores_gemma":[0.000007269406,0.00007777635,0.6813679,0.0001212976,0.00001626805,0.0001072774,0.3038964,0.00004912311,0.0002533713,0.0001357695,0.01394742,0.0000201766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914369,0.0004832727,0.00005461502,0.003977096,0.00005996782,0.00001397968,0.0001731466,0.000002161962,0.003798917],"genre_scores_gemma":[0.9909758,0.0006557906,0.00007188526,0.0006282843,0.00003388878,0.0000313657,0.00009526003,0.000005111782,0.00750266],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4333392,"threshold_uncertainty_score":0.8717824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464251528260892,"score_gpt":0.2238825812986525,"score_spread":0.2092400660160436,"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."}}