{"id":"W4398763007","doi":"10.1016/s2214-109x(24)00189-x","title":"Digital solutions for rare diseases in global health","year":2024,"lang":"en","type":"article","venue":"The Lancet Global Health","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Montreal Children's Hospital","funders":"","keywords":"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":[0.0002520531,0.000110648,0.0003431781,0.00002449761,0.0001948377,0.00002639805,0.000129761,0.0004084313,0.000009947201],"category_scores_gemma":[0.00005154683,0.00007026926,0.00008623824,0.0004595768,0.0001238698,0.00005309732,0.00005586063,0.000655044,0.00004460284],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006167283,"about_ca_system_score_gemma":0.001029419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001625463,"about_ca_topic_score_gemma":0.0002838422,"domain_scores_codex":[0.9987456,0.0000340746,0.0002356651,0.0002238475,0.0001057131,0.0006550891],"domain_scores_gemma":[0.9994827,0.00004456307,0.00003817222,0.0002674912,0.0000166125,0.0001504888],"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":[0.0003795234,0.0001953984,0.007885588,0.0007007265,0.0001055333,0.0000367416,0.0001011503,0.00001792127,3.560494e-7,0.3658632,0.3320398,0.292674],"study_design_scores_gemma":[0.003973673,0.001873257,0.2219723,0.002180674,0.00009201736,0.0007047656,0.0006167832,0.003525682,0.000001695955,0.08991266,0.6748278,0.0003186955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.006286126,0.06627055,0.002737934,0.915556,0.0008619087,0.0009625735,0.002339111,0.0005236585,0.00446216],"genre_scores_gemma":[0.9748681,0.004205083,0.0001825818,0.0197611,0.0004966685,0.00003440038,0.0001675681,0.000008773582,0.0002757404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.968582,"threshold_uncertainty_score":0.3150196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0292154732376126,"score_gpt":0.372518742961745,"score_spread":0.3433032697241324,"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."}}