{"id":"W4394937920","doi":"10.5376/be.2024.14.0003","title":"Crossing Disease Boundaries: How AI Drives Rare Disease Drug Discovery","year":2024,"lang":"en","type":"article","venue":"Biological Evidence","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disease; Drug discovery; Drug; Medicine; Computer science; Internal medicine; Pharmacology; Bioinformatics; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004248327,0.0002765914,0.0002023938,0.00005745207,0.0004373766,0.002536951,0.0005493714,0.0001618178,0.00006944454],"category_scores_gemma":[0.003350755,0.000181635,0.0002501591,0.0001679707,0.002232808,0.00005923578,0.0005588252,0.0002506585,0.00009043433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003627516,"about_ca_system_score_gemma":0.0009591971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009463981,"about_ca_topic_score_gemma":0.000006266968,"domain_scores_codex":[0.9978809,0.0001339173,0.0002892423,0.0006783979,0.0004349796,0.0005825418],"domain_scores_gemma":[0.9984952,0.0001458869,0.00004698225,0.0004918829,0.0001154035,0.0007046869],"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":[0.004546641,0.0009280185,0.1124856,0.005226578,0.0005698157,0.001531336,0.001428425,0.00007744633,0.3820598,0.006409773,0.321631,0.1631055],"study_design_scores_gemma":[0.000365754,0.000601232,0.06054744,0.001332161,0.00006928547,0.00001178763,0.0003285701,0.002289208,0.008452928,0.003187433,0.9218147,0.0009994879],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9052783,0.05347588,0.01443193,0.02444571,0.001149357,0.0005941297,0.000344829,0.0001420856,0.0001377817],"genre_scores_gemma":[0.989624,0.003906192,0.0003116511,0.00133776,0.0007157082,0.00004602217,0.0002095702,0.00001725064,0.003831878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6001837,"threshold_uncertainty_score":0.9984985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679796592610108,"score_gpt":0.326956157134376,"score_spread":0.2901581912082749,"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."}}