{"id":"W4367607127","doi":"10.1164/ajrccm-conference.2023.207.1_meetingabstracts.a4058","title":"Model-based Dose Selection for Phase 3 Trials of the Selective P2X3 Antagonist Camlipixant in Refractory Chronic Cough","year":2023,"lang":"en","type":"article","venue":"","topic":"Respiratory and Cough-Related Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Bellus Health (Canada)","funders":"","keywords":"Antagonist; Refractory (planetary science); Selection (genetic algorithm); Chronic cough; Phase (matter); Pharmacology; Medicine; Internal medicine; Chemistry; Computer science; Materials science; Artificial intelligence; Receptor; Metallurgy","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":[0.00258753,0.0001488771,0.000514471,0.0002634935,0.0001499362,0.000013368,0.0001265538,0.0001875627,0.0001012127],"category_scores_gemma":[0.0008986468,0.00009135638,0.0002386345,0.001262906,0.0001086346,0.00007387126,0.00002371075,0.0004077989,0.00001364255],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034659,"about_ca_system_score_gemma":0.002035884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009782148,"about_ca_topic_score_gemma":0.0002135836,"domain_scores_codex":[0.9979795,0.000326082,0.0006381986,0.000297756,0.0003941662,0.0003643141],"domain_scores_gemma":[0.9986405,0.0005450885,0.0001802107,0.0002795967,0.0002742282,0.00008037366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.009058724,0.001349215,0.001416817,0.0005235562,0.0002507968,0.00001448993,0.0004299122,0.01954659,0.931458,0.0004955985,0.01381024,0.02164607],"study_design_scores_gemma":[0.01988664,0.002563734,0.001104578,0.0002087374,0.0001379696,0.000004904443,0.0001694912,0.5326039,0.4360656,0.0004184718,0.006665268,0.0001707666],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9917085,0.0002318941,0.0023506,0.0009540801,0.0001843127,0.002675131,0.00005270612,0.0001014271,0.001741344],"genre_scores_gemma":[0.9964346,0.00006423732,0.00006568995,0.0001787947,0.0001584314,0.0002548592,0.00003044519,0.0000275391,0.002785454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5130572,"threshold_uncertainty_score":0.3725405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1232025555057227,"score_gpt":0.4333394108729193,"score_spread":0.3101368553671965,"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."}}