{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001282968,0.0005312167,0.0005589385,0.00813506,0.0002988449,0.001160113,0.0004453063,0.0008515563,0.004799222],"category_scores_gemma":[0.00390771,0.000234935,0.0007981357,0.01059787,0.0004214363,0.001589389,0.000648524,0.0004592751,0.0009310751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080501,"about_ca_system_score_gemma":0.001605399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002889032,"about_ca_topic_score_gemma":0.005242148,"domain_scores_codex":[0.9987644,0.000124436,0.0005797693,0.0001867212,0.0002874714,0.00005739524],"domain_scores_gemma":[0.9961715,0.001636804,0.001590467,0.00007464131,0.0003991481,0.0001274483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001330376,0.0001442695,0.1090796,0.1919735,0.00117105,0.008349377,0.001541768,0.0004652671,0.008479834,0.001346596,0.02523999,0.6508784],"study_design_scores_gemma":[0.0002312994,0.0005830342,0.3801191,0.09227254,0.004230151,0.05068826,0.001701893,0.0003380569,0.00361295,0.001128232,0.4650299,0.00006468256],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.02010205,0.9738309,0.0002075868,0.001113057,0.0003792897,0.00005136055,0.001319873,0.00001877701,0.002977033],"genre_scores_gemma":[0.08499344,0.9065735,0.0009941028,0.001410653,0.001298905,0.00007178859,0.00322395,0.00001096886,0.001422734],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00813506,"threshold_uncertainty_score":0.01605499,"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."}}