{"id":"W7067379604","doi":"","title":"L'explosion démographique des populations autochtones du Canada de 1986 à 2001","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Vetting; Decantation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001303691,0.0002895537,0.0001724117,0.001058168,0.001083918,0.0005953636,0.000315711,0.0002313833,0.004020106],"category_scores_gemma":[0.0004001397,0.0001372567,0.0002044627,0.001467703,0.0004847312,0.0002120389,0.0003381288,0.0004828249,0.0004478404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006819981,"about_ca_system_score_gemma":0.005468297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9519277,"about_ca_topic_score_gemma":0.9766382,"domain_scores_codex":[0.9998322,0.000005803154,0.000003871523,0.00002934017,0.00009251961,0.00003636614],"domain_scores_gemma":[0.9995578,0.00004323825,0.00005458799,0.00001246976,0.0002774482,0.00005456489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00114242,0.0001607967,0.6527662,0.0003954885,0.0002038493,0.0006285932,0.006560594,0.007077196,0.04411867,0.001954477,0.02113306,0.2638586],"study_design_scores_gemma":[0.000005378198,0.00002308752,0.9893622,0.00001454069,0.00000884056,0.00003056313,0.0003540454,0.0007475479,0.001412679,0.00004155583,0.00799104,0.000008642938],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95089,0.001093996,0.002527866,0.0002390249,0.00004697537,0.00007995406,0.01958655,0.0002658345,0.02526991],"genre_scores_gemma":[0.9587142,0.001076373,0.001669144,0.00005047897,0.00001509635,0.00004634738,0.006342073,0.00003296497,0.03205326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04807228,"threshold_uncertainty_score":0.09671074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930943296043572,"score_gpt":0.1663980937556905,"score_spread":0.1470886607952548,"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."}}