{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01697887,0.0004528336,0.001150272,0.002998125,0.003180743,0.01112952,0.002101633,0.003563726,0.009591978],"category_scores_gemma":[0.05988218,0.000500618,0.0007727322,0.002077737,0.01019136,0.01164684,0.007844134,0.005459223,0.001927922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003578721,"about_ca_system_score_gemma":0.006524192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002961053,"about_ca_topic_score_gemma":0.001756512,"domain_scores_codex":[0.9858813,0.007255296,0.000706203,0.002174107,0.002786388,0.001196558],"domain_scores_gemma":[0.9634003,0.02629835,0.003071809,0.002287326,0.001959423,0.002982797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002637582,0.0001600956,0.01921379,0.0003484166,0.0001415663,0.001292952,0.003785485,0.006299144,0.002384367,0.7682057,0.013662,0.1842428],"study_design_scores_gemma":[0.00004390225,0.00008675958,0.003114068,0.0002549029,0.00005554223,0.0009690165,0.001846576,0.00612378,0.001268151,0.9192507,0.06693731,0.00004910408],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1718722,0.04875665,0.2139707,0.3052563,0.003183875,0.0002715304,0.0007824348,0.001182318,0.2547239],"genre_scores_gemma":[0.9258296,0.009632053,0.04105104,0.01546744,0.001463018,0.0001688797,0.0003278268,0.0002651692,0.005794939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01697887,"threshold_uncertainty_score":0.08979392,"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."}}