{"id":"W7034650574","doi":"","title":"Vers un français acadien normalisé - 2e partie : un Office acadien de la langue française /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Cancer Research and Treatments","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gens; Perspective (graphical); Wish; Linguistic analysis","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":[0.003852148,0.0003708468,0.0002120341,0.001310098,0.00572608,0.01067407,0.0006516985,0.001495153,0.01140087],"category_scores_gemma":[0.00519155,0.0002739446,0.0003526739,0.002533143,0.004922541,0.005443486,0.002726039,0.002681015,0.001897824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02045199,"about_ca_system_score_gemma":0.02494203,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5820509,"about_ca_topic_score_gemma":0.5684014,"domain_scores_codex":[0.9961156,0.001220634,0.000208219,0.0006211891,0.001021625,0.0008128937],"domain_scores_gemma":[0.9959739,0.0007036075,0.0003510159,0.000488462,0.001835465,0.0006476349],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001184181,0.00005157561,0.009583258,0.0001620945,0.00002046089,0.001020226,0.07828732,0.0008410994,0.002267319,0.759652,0.05654081,0.09145536],"study_design_scores_gemma":[0.000007952643,0.00002423573,0.008610815,0.0001511398,0.00000752237,0.0001591248,0.0244435,0.0003920819,0.0007052959,0.006067079,0.9593961,0.00003518699],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2459567,0.009197719,0.02528701,0.06959343,0.001874634,0.0001246647,0.001278708,0.0006190508,0.6460682],"genre_scores_gemma":[0.7979788,0.00263328,0.006726915,0.002516103,0.0001628277,0.00005711316,0.0006514033,0.0002522386,0.1890213],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4179491,"threshold_uncertainty_score":0.840821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006626067050118396,"score_gpt":0.2332450152535472,"score_spread":0.2266189482034288,"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."}}