{"id":"W7030375349","doi":"","title":"Migrants, pionniers, fondateurs : aux origines du peuplement de la Nouvelle-France","year":2008,"lang":"fr","type":"other","venue":"Érudit documents and data repository (Érudit Consortium, University of Montreal)","topic":"Political and Social Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Research methodology; Context (archaeology)","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":[0.001088857,0.0002505312,0.0001812248,0.003274764,0.002318453,0.003246808,0.0004605409,0.0005234355,0.0128685],"category_scores_gemma":[0.003658007,0.0001244852,0.0001742608,0.006781792,0.0007609167,0.001489774,0.0009521138,0.0004970751,0.001510235],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004740696,"about_ca_system_score_gemma":0.004430617,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.698603,"about_ca_topic_score_gemma":0.8183159,"domain_scores_codex":[0.9995046,0.0001342728,0.00002375157,0.00008912849,0.0001529595,0.00009537101],"domain_scores_gemma":[0.9980882,0.0005489678,0.0004470301,0.00007510218,0.0005736122,0.0002670927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003266984,0.00008299836,0.5883211,0.0005525787,0.0000747121,0.001018664,0.08417152,0.0004389877,0.0006805551,0.01509363,0.1128041,0.1964344],"study_design_scores_gemma":[0.0000219742,0.00002715787,0.6524659,0.000294887,0.00004864341,0.0004394371,0.04736279,0.0002228076,0.0007350013,0.0008978505,0.2974355,0.00004791293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8306987,0.01158033,0.001660369,0.008714995,0.0002078655,0.00008269976,0.04489838,0.0003818064,0.1017749],"genre_scores_gemma":[0.8544254,0.007189574,0.002652592,0.0004792987,0.0001445831,0.00009532147,0.01272495,0.000185106,0.1221032],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.301397,"threshold_uncertainty_score":0.606344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01231292110396181,"score_gpt":0.2559127126013582,"score_spread":0.2435997914973964,"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."}}