{"id":"W7029962467","doi":"","title":"L'Intelligence artificielle au Québec : références utiles /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Nucleofection; Gestational period; TSG101; Dysgeusia; Diafiltration; Liquation; Emperipolesis; Triacetin; Demotion","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":[0.002255685,0.001513097,0.0008830758,0.01167809,0.00504738,0.00998902,0.002580692,0.002202836,0.0841088],"category_scores_gemma":[0.005612473,0.0006075517,0.001123048,0.02197974,0.002257839,0.00343522,0.001832058,0.001735587,0.01197202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04340805,"about_ca_system_score_gemma":0.04940638,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9729921,"about_ca_topic_score_gemma":0.9763094,"domain_scores_codex":[0.9972388,0.0003954256,0.0001606627,0.0002356796,0.001665668,0.0003039117],"domain_scores_gemma":[0.9962519,0.0004222635,0.0001038211,0.0003704312,0.002688624,0.0001630089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003996026,0.00005922015,0.001733201,0.000815909,0.00003362364,0.000186312,0.001097817,0.002017671,0.000376112,0.07476304,0.705674,0.2132031],"study_design_scores_gemma":[0.000006295991,0.000003590613,0.002401498,0.000487289,0.00001346791,0.00006548272,0.0003425815,0.0007256818,0.0003455276,0.004055482,0.9915313,0.00002201939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003832708,0.05818185,0.01700423,0.01773342,0.002400905,0.0003592617,0.02735133,0.002354,0.8707823],"genre_scores_gemma":[0.05074298,0.05430366,0.03468208,0.002009889,0.0005515921,0.0003079535,0.02350561,0.001324666,0.8325716],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0841088,"threshold_uncertainty_score":0.3149489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0203303327995899,"score_gpt":0.2481149059857815,"score_spread":0.2277845731861916,"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."}}