{"id":"W4402285518","doi":"10.55016/ojs/sppp.v11i1.53048","title":"Making Sure Orphan Drugs Don’t Get Left Behind","year":2018,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Orphan drug; Medicine; Bioinformatics; Biology","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008510645,0.0001650899,0.000248768,0.0007351709,0.0004118791,0.0000689015,0.0006708141,0.001273899,0.002105111],"category_scores_gemma":[0.001614239,0.0001114957,0.0001291449,0.0008375356,0.0009845939,0.0002964252,0.0001872745,0.001697137,0.000465013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000922352,"about_ca_system_score_gemma":0.001031504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002214607,"about_ca_topic_score_gemma":0.0001131318,"domain_scores_codex":[0.9984726,0.0001014828,0.0003986262,0.0002689012,0.0002792667,0.0004791385],"domain_scores_gemma":[0.9976709,0.0000907274,0.0002271679,0.001253311,0.0005289281,0.0002289009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004908726,0.0005310168,0.03474363,0.00006016944,0.0007700212,0.000001434091,0.002210444,7.794091e-7,0.005226934,0.6785783,0.263589,0.01423927],"study_design_scores_gemma":[0.001089417,0.0002192194,0.1548225,0.00007277631,0.0001799173,0.0002418177,0.0006340854,0.0001004154,0.002838257,0.008419291,0.8311386,0.0002437579],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0690135,0.0003895909,0.0009910391,0.7803261,0.0001792622,0.0004668177,0.00003279252,0.0003799279,0.148221],"genre_scores_gemma":[0.9770706,0.0001185944,0.0006644016,0.00506736,0.0008414013,0.00002521603,0.00003922958,0.00002574084,0.01614742],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9080572,"threshold_uncertainty_score":0.9988071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03760542973672708,"score_gpt":0.337123339232145,"score_spread":0.299517909495418,"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."}}