{"id":"W2889641340","doi":"10.1007/978-1-4939-8645-3_15","title":"Methods for Assessing Serpins as Neuroprotective Therapeutics","year":2018,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Spinal Cord Injury Research","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Neuroprotection; Medicine; Pharmacology","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":[0.003618471,0.00182562,0.001022847,0.003180483,0.0007341694,0.001779786,0.001193633,0.001396329,0.003333683],"category_scores_gemma":[0.003756523,0.0007296368,0.0008376705,0.001114259,0.00133258,0.001968216,0.001081051,0.002310472,0.001774542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008635643,"about_ca_system_score_gemma":0.001264557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001058778,"about_ca_topic_score_gemma":0.00166742,"domain_scores_codex":[0.9971582,0.0007482116,0.0002049298,0.000529978,0.00118208,0.0001766708],"domain_scores_gemma":[0.9981071,0.0006141177,0.0003232608,0.0003541168,0.0004766377,0.0001247768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005580828,0.0001771269,0.002063358,0.00102692,0.0001431938,0.00009446414,0.000144369,0.000663861,0.8876762,0.006814043,0.001556005,0.0990824],"study_design_scores_gemma":[0.00009092806,0.0008071748,0.004736363,0.0001953818,0.0002648769,0.0006154968,0.0001357993,0.006299189,0.9431357,0.01045096,0.03315778,0.0001102859],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07673469,0.03714295,0.8555249,0.001092541,0.0009703952,0.001640156,0.002698673,0.001761411,0.02243425],"genre_scores_gemma":[0.2721311,0.03506832,0.6562156,0.0009924963,0.0004855877,0.004191698,0.002101828,0.0005466609,0.02826669],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003618471,"threshold_uncertainty_score":0.01913649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1569226495029292,"score_gpt":0.621193665487083,"score_spread":0.4642710159841538,"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."}}