{"id":"W3008906197","doi":"10.2196/17580","title":"Neural Network–Based Clinical Prediction System for Identifying the Clinical Effects of Saffron (Crocus sativus L) Supplement Therapy on Allergic Asthma: Model Evaluation Study","year":2020,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Saffron Plant Research Studies","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ahvaz Jundishapur University of Medical Sciences","keywords":"Crocus sativus; Asthma; Medicine; Artificial neural network; Machine learning; Artificial intelligence; Internal medicine; Traditional medicine; Computer science","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":[0.002287293,0.001033892,0.000900194,0.0007166018,0.0004120342,0.0007282374,0.0007966753,0.0009944893,0.001701949],"category_scores_gemma":[0.003617512,0.0002979198,0.0009169067,0.0004573417,0.0002851662,0.0004407684,0.0005155197,0.001024842,0.0002602661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001707625,"about_ca_system_score_gemma":0.001307286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0555483,"about_ca_topic_score_gemma":0.02305021,"domain_scores_codex":[0.9995424,0.0002055158,0.00003461619,0.00009074622,0.00006437891,0.00006239835],"domain_scores_gemma":[0.9979877,0.001297057,0.0001303609,0.000055607,0.0004899668,0.00003928181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000514279,0.0004884346,0.01206469,0.00008452461,0.000191254,0.00008517325,0.00004508228,0.9536834,0.0008844222,0.0001928931,0.0005112253,0.03125454],"study_design_scores_gemma":[0.000010443,0.00009261891,0.001030027,0.000003737532,0.00001858557,0.000005796919,0.000005950665,0.9985769,0.0001851992,0.0000314527,0.00003621102,0.000003082913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9351472,0.001184707,0.05817807,0.000583321,0.0001004225,0.0003696829,0.0004945569,0.000439225,0.003502772],"genre_scores_gemma":[0.9877425,0.0001937504,0.01034388,0.00005182361,0.00001665892,0.0002163072,0.0003649638,0.000007722148,0.001062499],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0555483,"threshold_uncertainty_score":0.11045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2021384296157797,"score_gpt":0.4785115059695689,"score_spread":0.2763730763537892,"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."}}