{"id":"W2786425916","doi":"10.1126/science.aar6837","title":"An indoor chemical cocktail","year":2018,"lang":"en","type":"article","venue":"Science","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Chinese Academy of Sciences; Alfred P. Sloan Foundation","keywords":"Environmental science; Environmental chemistry; Chemistry","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":[0.0004606106,0.000584409,0.0006437117,0.000641946,0.0007706948,0.001553601,0.0004273279,0.0007352316,0.008203383],"category_scores_gemma":[0.0005294613,0.0005367819,0.0006578283,0.0006601385,0.0006325355,0.0009573902,0.001945369,0.001193772,0.002677264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005355028,"about_ca_system_score_gemma":0.0008989504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007022959,"about_ca_topic_score_gemma":0.001208084,"domain_scores_codex":[0.9991201,0.0001420248,0.00003201942,0.0002263908,0.0003643312,0.0001150938],"domain_scores_gemma":[0.9996797,0.00004443676,0.00006181897,0.00005335825,0.0000881468,0.00007255912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004270588,0.000172956,0.0036781,0.0005673575,0.0001240885,0.0003942606,0.0000945906,0.001367038,0.9342425,0.006720626,0.002518244,0.0496931],"study_design_scores_gemma":[0.00002943074,0.001182393,0.01219549,0.0001326271,0.0002673116,0.0009588736,0.0003021416,0.002592426,0.8371785,0.00425853,0.1408163,0.00008604169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.701212,0.03080269,0.1112038,0.004850536,0.001603674,0.0005969522,0.005134664,0.001751705,0.1428441],"genre_scores_gemma":[0.8990404,0.01604662,0.03579794,0.00207256,0.0003830303,0.0001803209,0.001744675,0.0001970842,0.04453733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008203383,"threshold_uncertainty_score":0.02744305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009634412391536094,"score_gpt":0.2632146895007481,"score_spread":0.253580277109212,"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."}}