{"id":"W4380853537","doi":"10.1021/acs.est.2c09353","title":"How Many Chemicals in Commerce Have Been Analyzed in Environmental Media? A 50 Year Bibliometric Analysis","year":2023,"lang":"en","type":"review","venue":"Environmental Science & Technology","topic":"Pharmaceutical and Antibiotic Environmental Impacts","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"Stockholms Universitet; Environment and Climate Change Canada","keywords":"Environmental science; Organic chemicals; China; Chemical industry; Period (music); Toxicology; Environmental chemistry; Chemistry; Geography; Environmental engineering; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.006348043,0.000441587,0.000980465,0.09656148,0.000927739,0.003655802,0.0006685418,0.0004863319,0.003122776],"category_scores_gemma":[0.02862371,0.0002159206,0.001491174,0.1748976,0.0008260262,0.00325181,0.001675585,0.0004553417,0.0009889978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00227266,"about_ca_system_score_gemma":0.002030994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01572625,"about_ca_topic_score_gemma":0.01883137,"domain_scores_codex":[0.9911132,0.001347593,0.002139723,0.001056326,0.003905199,0.0004379269],"domain_scores_gemma":[0.9648722,0.01519294,0.009936414,0.001833623,0.007537988,0.0006268524],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001660452,0.00007860157,0.7507744,0.006086987,0.001624769,0.0004853867,0.002234217,0.001090079,0.002237074,0.003535546,0.03087139,0.2008154],"study_design_scores_gemma":[0.000009248427,0.00006983306,0.9337715,0.0006273739,0.0006576895,0.0004273953,0.002419883,0.001333183,0.001032704,0.0009213013,0.05867887,0.00005106125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7478068,0.05127592,0.004223879,0.005213907,0.0002785674,0.000425136,0.1490529,0.0007706254,0.04095217],"genre_scores_gemma":[0.891861,0.02787372,0.006227088,0.0004346966,0.0004947065,0.0003858194,0.06966215,0.00009495502,0.002965838],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.993652,"threshold_uncertainty_score":0.03357208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04818867590629937,"score_gpt":0.3330961600979027,"score_spread":0.2849074841916033,"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."}}