{"id":"W2052097013","doi":"10.1089/adt.2014.587","title":"Assays for the Identification and Prioritization of Drug Candidates for Spinal Muscular Atrophy","year":2014,"lang":"en","type":"review","venue":"Assay and Drug Development Technologies","topic":"Neurogenetic and Muscular Disorders Research","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Portage College","funders":"PTC Therapeutics; Spinal Muscular Atrophy Foundation","keywords":"SMN1; Spinal muscular atrophy; SMA*; Drug discovery; Candidate gene; Exon; Biology; Gene; Bioinformatics; Weakness; Medicine; Genetics; Computational biology; Anatomy; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025649,0.0002401161,0.0007398601,0.0002344806,0.0002242466,0.00004095048,0.0001909444,0.0001900467,8.915823e-7],"category_scores_gemma":[0.0007133324,0.0001517543,0.0001507479,0.0001925874,0.0002465867,0.00002956003,0.0001361939,0.0001609671,0.000001129224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000030528,"about_ca_system_score_gemma":0.0002393877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004797296,"about_ca_topic_score_gemma":0.00000737871,"domain_scores_codex":[0.9985987,0.00004913885,0.0005201907,0.0003924851,0.0002173423,0.0002221649],"domain_scores_gemma":[0.9988379,0.0003851433,0.0002608096,0.0003210179,0.0001665767,0.00002853323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001898845,0.00002271321,0.00006396394,0.01597695,0.000200412,5.886635e-7,0.00004978299,9.078563e-8,0.00002126597,0.0007220245,0.0005992775,0.9823239],"study_design_scores_gemma":[0.0005021269,0.0000718283,0.0001351884,0.0022088,0.0006549806,0.0000170158,0.0003163084,0.00005042309,0.0009150647,0.0005762154,0.9943628,0.0001892494],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003363744,0.9777603,0.01781242,0.0005980008,0.00006684398,0.003293549,0.00001668325,0.0000966906,0.00001915391],"genre_scores_gemma":[0.004372553,0.989389,0.004396879,0.000009863851,0.00002164455,0.001246775,0.0001471311,0.00003113387,0.0003849984],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9937635,"threshold_uncertainty_score":0.6188362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973293074908764,"score_gpt":0.337538243274346,"score_spread":0.3078053125252584,"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."}}