{"id":"W4244055264","doi":"10.1007/s13311-018-0641-4","title":"Abstracts of 20th Annual ASENT Meeting","year":2018,"lang":"en","type":"article","venue":"Neurotherapeutics","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Caprion (Canada)","funders":"","keywords":"Neurology; Library science; Computer science; Psychology; Neuroscience","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00156899,0.001749798,0.0008423762,0.001727161,0.001650606,0.002792521,0.001236281,0.002712577,0.2351547],"category_scores_gemma":[0.002145563,0.000296013,0.0008909201,0.0006961487,0.0003085622,0.0009870332,0.001902554,0.001688929,0.1269807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307598,"about_ca_system_score_gemma":0.002523219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002846824,"about_ca_topic_score_gemma":0.009557679,"domain_scores_codex":[0.9991876,0.0001003466,0.00006038421,0.00009358646,0.0003806983,0.0001773953],"domain_scores_gemma":[0.9980435,0.0001044539,0.0001117321,0.00005435326,0.0009756748,0.0007102315],"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":[0.0004244899,0.0001360891,0.0005392305,0.0003233182,0.00002028124,0.000231208,0.00003256094,0.00008187725,0.00118191,0.0002575983,0.9409701,0.05580137],"study_design_scores_gemma":[0.0000623405,0.0001153512,0.002791399,0.0002041358,0.00002209388,0.0001488381,0.00007276758,0.0001004634,0.0004591964,0.0003501205,0.9956629,0.00001049455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.01298627,0.05544775,0.002913838,0.05806554,0.4786733,0.001604456,0.009882457,0.0005961984,0.3798302],"genre_scores_gemma":[0.01335822,0.01845372,0.0009741634,0.004662892,0.06623823,0.0004912698,0.0039846,0.0001866397,0.8916503],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2351547,"threshold_uncertainty_score":0.7866709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04529544985838818,"score_gpt":0.3485973326444763,"score_spread":0.3033018827860882,"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."}}