{"id":"W2020645854","doi":"10.2196/mhealth.2706","title":"Development of a Smartphone App for a Genetics Website: The Amyotrophic Lateral Sclerosis Online Genetics Database (ALSoD)","year":2013,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King's College London; National Institute for Health and Care Research; South London and Maudsley NHS Foundation Trust; ALS Society of Canada; Motor Neurone Disease Association; ALS Therapy Alliance; ALS Association","keywords":"Amyotrophic lateral sclerosis; Mobile apps; World Wide Web; Genetics; Online database; Biology; Internet privacy; Computer science; Medicine; Disease","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001216338,0.0009491668,0.0006570989,0.001603541,0.0002911943,0.0008257539,0.001050381,0.0004568195,0.03684491],"category_scores_gemma":[0.00349509,0.000534239,0.0006227295,0.0005684361,0.0001522036,0.00135184,0.001480943,0.0006984088,0.02468661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002018964,"about_ca_system_score_gemma":0.0005238618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009883299,"about_ca_topic_score_gemma":0.001444744,"domain_scores_codex":[0.9992434,0.0001248829,0.00009102223,0.0002125558,0.0002445128,0.00008369941],"domain_scores_gemma":[0.9969021,0.0009899986,0.0001957995,0.0004305427,0.0008773934,0.0006041325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001395577,0.0009644044,0.02149151,0.001665167,0.0001977724,0.001481141,0.0009917215,0.0008199184,0.03242549,0.001070993,0.3972978,0.5401986],"study_design_scores_gemma":[0.001314439,0.002411273,0.1460384,0.001015343,0.0004520962,0.005756848,0.000864824,0.03461245,0.06406026,0.002947857,0.7397949,0.0007312097],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.118264,0.001224765,0.2293767,0.00176442,0.0008610895,0.008664765,0.08071119,0.5172498,0.04188322],"genre_scores_gemma":[0.3120459,0.001001225,0.525159,0.002505717,0.0004541499,0.006621521,0.0906971,0.02078238,0.04073298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03684491,"threshold_uncertainty_score":0.1232585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04735489826245461,"score_gpt":0.3196104879573116,"score_spread":0.272255589694857,"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."}}