{"id":"W6980127680","doi":"","title":"Aux origines du gÃ©nome quÃ©bÃ©cois, dÃ©mographie gÃ©nÃ©tique d'une population nouvelle","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Public Relations and Crisis Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Natural (archaeology); 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":[0.000427415,0.0003316572,0.0001246781,0.002167928,0.003734641,0.003349913,0.0003886548,0.0008098458,0.06594445],"category_scores_gemma":[0.002755727,0.000160764,0.0001964713,0.002954961,0.001844911,0.001561099,0.001030073,0.00121019,0.006229544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006235217,"about_ca_system_score_gemma":0.004707329,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4506108,"about_ca_topic_score_gemma":0.5849334,"domain_scores_codex":[0.9996465,0.00006740667,0.00001052316,0.00006346665,0.0001211648,0.00009088681],"domain_scores_gemma":[0.9991743,0.0001916128,0.0001059699,0.00006176903,0.0003435125,0.0001227132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002845433,0.00007652429,0.05884377,0.0005919859,0.00002434344,0.001325232,0.06817892,0.00030968,0.004141566,0.2870083,0.2635544,0.3156607],"study_design_scores_gemma":[0.000008411212,0.00001335939,0.1996202,0.000199938,0.000009660153,0.0004389148,0.01208121,0.0002543696,0.001062139,0.00716264,0.7791222,0.00002710392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1446675,0.009185924,0.0057174,0.01140305,0.001432618,0.0001111748,0.007094461,0.0004848505,0.8199031],"genre_scores_gemma":[0.4533083,0.005306694,0.002378371,0.0006054615,0.0002902476,0.00008347235,0.001479378,0.0002610496,0.536287],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5493892,"threshold_uncertainty_score":0.8959759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003849089442912392,"score_gpt":0.1701542693899317,"score_spread":0.1663051799470193,"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."}}