{"id":"W7005489111","doi":"","title":"Recherche d'Ã©lÃ©ments rÃ©pÃ©tÃ©s par analyse des distributions de frÃ©quences d'oligonuclÃ©otides","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":"Nucleofection; Gestational period; TSG101; Dysgeusia; Liquation; Diafiltration; Emperipolesis; Triacetin; Demotion","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"bench_or_experimental","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001780444,0.001704792,0.001080508,0.001193562,0.00104588,0.001765061,0.0008343875,0.0008230907,0.02286111],"category_scores_gemma":[0.002842385,0.0007903946,0.001040887,0.0008974154,0.0007601934,0.0008052345,0.000563501,0.001768182,0.01213481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003559994,"about_ca_system_score_gemma":0.003008609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02631015,"about_ca_topic_score_gemma":0.02778926,"domain_scores_codex":[0.9988925,0.0001967918,0.00004592615,0.0003920016,0.0003907535,0.00008201945],"domain_scores_gemma":[0.9990475,0.0003169061,0.00008533276,0.0001699519,0.0002987065,0.00008154779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004561735,0.00007292994,0.0005879294,0.0003180825,0.00005509305,0.0001187298,0.0002756466,0.002313769,0.8960209,0.008590404,0.01070273,0.08048746],"study_design_scores_gemma":[0.00003767617,0.0001274401,0.002955546,0.0000256863,0.00003008818,0.0001318864,0.00005087474,0.00505163,0.9085455,0.0008163919,0.08219744,0.00002978396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3054249,0.009965715,0.5242626,0.002581122,0.001628141,0.000833285,0.02881678,0.0101686,0.1163188],"genre_scores_gemma":[0.3232239,0.01020907,0.2767159,0.0008236649,0.00015874,0.001195267,0.02988264,0.007145332,0.3506455],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02631015,"threshold_uncertainty_score":0.07647806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02194891684022952,"score_gpt":0.2051226226630624,"score_spread":0.1831737058228329,"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."}}