{"id":"W2514415100","doi":"10.11606/d.10.2016.tde-19082016-173709","title":"<b>Acompanhamento clínico e morfológico da distrofia muscular do cão Golden Retriever (GRMD)</b>","year":2016,"lang":"pt","type":"dissertation","venue":"","topic":"Neurological diseases and metabolism","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Labrador Retriever; Medicine; Surgery","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":[0.0006045221,0.0003261372,0.0003188216,0.000681063,0.0003891301,0.0008526252,0.0003897473,0.0008668235,0.005000277],"category_scores_gemma":[0.0003174964,0.0001854459,0.000349178,0.0003544213,0.000847886,0.0002709097,0.0003550414,0.0004865234,0.001278083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358416,"about_ca_system_score_gemma":0.0008883224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01843045,"about_ca_topic_score_gemma":0.02430454,"domain_scores_codex":[0.9996909,0.00004533074,0.00001921708,0.00008169024,0.0001269479,0.00003602227],"domain_scores_gemma":[0.9995812,0.00006237531,0.0001212984,0.00003348171,0.0001335586,0.00006808364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001374035,0.0002272655,0.01764158,0.0006257362,0.00006957306,0.002106741,0.0004304953,0.0003254396,0.8547073,0.001804098,0.006150327,0.1145373],"study_design_scores_gemma":[0.0002505406,0.006864228,0.2666553,0.0006098484,0.0003530757,0.01389042,0.00158798,0.003203099,0.4560127,0.00137025,0.2490246,0.0001778668],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9006024,0.02905107,0.01185525,0.005066415,0.0007717587,0.0004538151,0.002045744,0.0003431894,0.04981027],"genre_scores_gemma":[0.837292,0.01662575,0.01711868,0.002177403,0.0002252828,0.0003706333,0.001880531,0.0002153883,0.1240944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01843045,"threshold_uncertainty_score":0.03664631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02286465927607886,"score_gpt":0.2799279555192818,"score_spread":0.2570632962432029,"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."}}