{"id":"W4386964325","doi":"10.15244/pjoes/169016","title":"Bibliometric Overview of Research on Tasteand Odor in Drinking Waterduring the 1980-2022","year":2023,"lang":"en","type":"article","venue":"Polish Journal of Environmental Studies","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Odor; Taste; Environmental science; Environmental chemistry; Chemistry; Food science; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004475944,0.0001143871,0.0002697262,0.00627523,0.00007205019,0.00001111238,0.000317752,0.00004272455,0.00001184335],"category_scores_gemma":[0.0002330824,0.00007656457,0.00006694956,0.009561344,0.0002469341,0.0001125788,0.0003063676,0.0005090185,0.00001354682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002757424,"about_ca_system_score_gemma":0.000001051413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000365274,"about_ca_topic_score_gemma":0.000002989825,"domain_scores_codex":[0.9986175,0.00003777706,0.0003837553,0.00009384914,0.0005362811,0.0003308163],"domain_scores_gemma":[0.9992399,0.0004931836,0.00008308075,0.0001432094,0.00001237764,0.00002825574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001119785,0.0003101159,0.09227543,0.0007896762,0.0009372499,0.0004307446,0.004109856,0.09469361,0.6972886,0.0004547,0.005152341,0.1034457],"study_design_scores_gemma":[0.001063839,0.0003281807,0.3261079,0.0009380967,0.00003187652,0.00005337314,0.01720044,0.0001828709,0.6438357,0.005305756,0.004628629,0.0003232825],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9810513,0.01834962,0.000001440443,0.0001904616,0.0001175387,0.00007316961,0.000006920854,0.00003595803,0.0001735714],"genre_scores_gemma":[0.9474649,0.05237284,0.00004238082,0.000008559763,0.00005937478,0.000004888842,4.369249e-7,0.00001890394,0.00002775073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2338325,"threshold_uncertainty_score":0.5599322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1415427364878878,"score_gpt":0.3778527665140644,"score_spread":0.2363100300261766,"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."}}