{"id":"W7006385400","doi":"","title":"Surexpression de facteurs neurotrophiques dans un modèle murin de sclérose latérale amyotrophique","year":2000,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Statistical analysis; Limiting; Variation (astronomy)","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":[0.000125661,0.0002853228,0.000204151,0.0003873314,0.0003728253,0.0004310797,0.0001981137,0.000345387,0.003431433],"category_scores_gemma":[0.0002416393,0.0001083136,0.0003003018,0.0001804609,0.000286169,0.0001541329,0.0002248925,0.0004948315,0.0009400742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006105417,"about_ca_system_score_gemma":0.0003731798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01239924,"about_ca_topic_score_gemma":0.01114471,"domain_scores_codex":[0.9998518,0.00001093366,0.00001451627,0.00003045153,0.00004673125,0.00004554636],"domain_scores_gemma":[0.9997634,0.00007965625,0.00004182963,0.00002373147,0.00004220288,0.00004921619],"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":[0.0003101979,0.00002039281,0.0005593106,0.00001620771,0.000008352401,0.0004461618,0.00003144927,0.00004022661,0.996937,0.0001130943,0.0001073661,0.001410304],"study_design_scores_gemma":[0.00005497623,0.0003322418,0.02449278,0.00001318467,0.00003722983,0.001673104,0.0001880631,0.0006756638,0.9642568,0.00007010643,0.008196495,0.000009386193],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907377,0.001464967,0.0009522693,0.0001514214,0.00006294448,0.00002726064,0.0008720424,0.00006062949,0.00567065],"genre_scores_gemma":[0.9594212,0.0009967018,0.001276496,0.0000529832,0.0000184858,0.00003312882,0.001801862,0.00002914338,0.03637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239924,"threshold_uncertainty_score":0.02465409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004036726875003417,"score_gpt":0.1506903481686961,"score_spread":0.1466536212936926,"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."}}