{"id":"W4247770089","doi":"10.5539/ep.v9n2p50","title":"Reviewer acknowledgements for Environment and Pollution, Vol. 9, No. 2","year":2020,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pollution; Environmental science; Computer science; Econometrics; Mathematics; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01748192,0.002549029,0.003957766,0.006546636,0.003785513,0.007494209,0.00465885,0.01340254,0.1220371],"category_scores_gemma":[0.238298,0.001267812,0.003343112,0.002749506,0.001640588,0.005397026,0.002977434,0.008559775,0.05726288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003877118,"about_ca_system_score_gemma":0.007071395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004432326,"about_ca_topic_score_gemma":0.008583489,"domain_scores_codex":[0.9791415,0.003813313,0.003454778,0.001417148,0.01118556,0.000987681],"domain_scores_gemma":[0.5194186,0.02244837,0.008567105,0.003814566,0.4378137,0.007937551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001207663,0.000002085376,0.00003055255,0.0001928859,0.000003664962,0.00004304218,0.00001221633,0.000004103392,0.00001947788,0.00005998872,0.9976735,0.001946403],"study_design_scores_gemma":[0.00007290452,0.00002468372,0.0005132439,0.00144216,0.000037659,0.0006200041,0.0001602451,0.0001152044,0.000135075,0.0005952007,0.9962218,0.00006182849],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006312128,0.002687352,0.0005160919,0.1155711,0.8763575,0.0002753357,0.000524893,0.0002809467,0.003723684],"genre_scores_gemma":[0.002949558,0.00848051,0.001782909,0.1629279,0.7269046,0.001372966,0.001729472,0.0008108962,0.09304114],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1220371,"threshold_uncertainty_score":0.4082547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02422714290776845,"score_gpt":0.2418557380794863,"score_spread":0.2176285951717178,"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."}}