{"id":"W7001858313","doi":"","title":"Les migrations internes au Viêtnam et leur impact sur l'environnement","year":2012,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Settlement (finance); Exportation; Natural (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":[0.0005213182,0.0003494406,0.0001882095,0.001138176,0.001432529,0.002474448,0.0003322116,0.0005387561,0.02181108],"category_scores_gemma":[0.002545796,0.0001982867,0.0004511031,0.002692831,0.0003983499,0.0008390177,0.0008369017,0.0007005759,0.003700617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002543118,"about_ca_system_score_gemma":0.00285968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2902908,"about_ca_topic_score_gemma":0.3823248,"domain_scores_codex":[0.99962,0.00006516378,0.00001476243,0.00003801757,0.0001408064,0.0001211854],"domain_scores_gemma":[0.9985009,0.0002463928,0.0002585669,0.00004888715,0.000678862,0.0002664551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001266093,0.0002885023,0.4256639,0.0006478567,0.0001952877,0.001195285,0.01071348,0.01399394,0.002511903,0.01846092,0.1124322,0.4126305],"study_design_scores_gemma":[0.000042811,0.000176514,0.7773839,0.000338866,0.0000958477,0.0003084198,0.01770212,0.002884619,0.0012271,0.002035698,0.1977319,0.00007222762],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8200973,0.004538579,0.001796364,0.007898043,0.0006150524,0.00004362487,0.01195952,0.0002830203,0.1527685],"genre_scores_gemma":[0.7574993,0.006622185,0.001269379,0.0003074215,0.000235917,0.00005666366,0.003670314,0.0002210799,0.2301176],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2902908,"threshold_uncertainty_score":0.5772023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006655209882208225,"score_gpt":0.1737788711446943,"score_spread":0.1671236612624861,"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."}}