{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003920874,0.0001861117,0.0001879728,0.00003097123,0.0005806137,0.00004051827,0.00009628917,0.0001023647,0.001397994],"category_scores_gemma":[0.0005484156,0.0001808359,0.00005982999,0.00004408535,0.000328837,0.0002062537,0.0001005924,0.00007407153,0.0008737766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001650432,"about_ca_system_score_gemma":0.00001831966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001265586,"about_ca_topic_score_gemma":0.000003736849,"domain_scores_codex":[0.998598,0.00008921019,0.0002438873,0.0004009132,0.0003426819,0.000325273],"domain_scores_gemma":[0.9994598,0.00001680703,0.00009393585,0.0001035293,0.00005554569,0.0002703828],"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":[0.0001868307,0.0002659467,0.03550332,0.0001969927,0.0001872424,0.000001990936,0.01065256,0.000171591,0.001661036,0.003358534,0.8314252,0.1163887],"study_design_scores_gemma":[0.0005027275,0.00009578218,0.04847243,0.00001697965,0.00003983284,6.428733e-8,0.0002189698,0.0001073876,0.00005182056,0.0003732583,0.9499022,0.0002185581],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5345578,0.08044092,0.08340909,0.2017948,0.03149872,0.02268692,0.0005603445,0.0008320854,0.04421938],"genre_scores_gemma":[0.7785589,0.1359504,0.007539822,0.008753684,0.010906,0.0005019674,0.0002029735,0.00009118756,0.05749514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2440011,"threshold_uncertainty_score":0.9999042,"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."}}