{"id":"W4362660567","doi":"","title":"Methacholine challenge testing: comparative pharmacology","year":2018,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Analytical Methods in Pharmaceuticals","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pharmacology; Medicine; Methacholine; Computational biology; Biology; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002460705,0.0005346636,0.00145735,0.0004715336,0.000344658,0.0004711887,0.004181331,0.0002615013,0.1283889],"category_scores_gemma":[0.001894707,0.0004843035,0.0002498144,0.001192475,0.001044534,0.001193675,0.001920462,0.001220807,0.0001771134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001692551,"about_ca_system_score_gemma":0.0001769919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000987671,"about_ca_topic_score_gemma":0.000005212613,"domain_scores_codex":[0.995578,0.0006328222,0.001373464,0.0008034768,0.0008181504,0.0007941118],"domain_scores_gemma":[0.9930791,0.003474182,0.001053802,0.0006420023,0.001050257,0.0007007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005251452,0.0009716516,0.02985862,0.0002027972,0.0009571704,0.00009091963,0.0003174505,0.00004007832,0.8909127,0.000415641,0.04902806,0.02667975],"study_design_scores_gemma":[0.001462435,0.00003151213,0.007979847,0.0003189495,0.0005715066,0.00004057118,0.0001252356,0.003134839,0.8916472,0.02047266,0.07339844,0.0008168293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5144475,0.02371477,0.005329124,0.001156173,0.001899584,0.0007124686,0.0001447115,0.00027995,0.4523158],"genre_scores_gemma":[0.9800443,0.002594253,0.01313779,0.001026168,0.001861107,0.00006409354,0.000007405506,0.00008937321,0.00117551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4655969,"threshold_uncertainty_score":0.9997609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7132494661399814,"score_gpt":0.6993727576610322,"score_spread":0.01387670847894917,"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."}}