{"id":"W2015931259","doi":"10.1155/2012/597306","title":"Occupational Asthma: New Low-Molecular-Weight Causal Agents, 2000–2010","year":2012,"lang":"en","type":"article","venue":"Journal of Allergy","topic":"Occupational exposure and asthma","field":"Medicine","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Algorithm; Computer science; Database; Machine learning; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002473889,0.0001569684,0.0002939416,0.0001836984,0.00004542954,0.00001290793,0.0001124371,0.0001079479,0.002350719],"category_scores_gemma":[0.000104333,0.0001238107,0.0002328853,0.0001573107,0.00002973459,0.0003071916,0.00002879713,0.0002903019,0.0001735552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013539,"about_ca_system_score_gemma":0.0008553874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002402353,"about_ca_topic_score_gemma":0.000005194503,"domain_scores_codex":[0.9983029,0.00004033624,0.0005301515,0.0000993586,0.0007312431,0.0002959976],"domain_scores_gemma":[0.9986214,0.00004274362,0.0003346868,0.0001509752,0.0003079927,0.0005421832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.002094424,0.001695935,0.08124796,0.00004549483,0.001573597,0.0006727463,0.0007181173,0.0001907527,0.02241628,0.004580831,0.864655,0.0201089],"study_design_scores_gemma":[0.002066623,0.0003685341,0.5508421,0.00008969222,0.00004618742,0.0009458782,0.0000219388,0.00002634852,0.003047495,0.0001652998,0.4422377,0.0001422022],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643741,0.006582116,0.01151498,0.005904166,0.0035992,0.0001881632,0.00001280674,0.0000294005,0.007795087],"genre_scores_gemma":[0.9732234,0.0001737349,0.01148979,0.002498074,0.005415419,0.000001357837,0.00004169899,0.00003675651,0.007119784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4695941,"threshold_uncertainty_score":0.9985613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018232769179968,"score_gpt":0.2868689400005552,"score_spread":0.2686361708205872,"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."}}