{"id":"W4242692765","doi":"10.5539/ep.v6n1p72","title":"Reviewer acknowledgements for Environment and Pollution, Vol. 6, No. 1","year":2017,"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; Biochemical engineering; Computer science; Engineering; 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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006833188,0.0001881486,0.000186036,0.00004003768,0.002090055,0.0001173359,0.0001746453,0.0001171566,0.0009919509],"category_scores_gemma":[0.0007938377,0.0001797823,0.0000617079,0.00001272824,0.0006497124,0.0003550995,0.0001593429,0.00006913699,0.0006535283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103541,"about_ca_system_score_gemma":0.00001844308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004403599,"about_ca_topic_score_gemma":0.0000184295,"domain_scores_codex":[0.9986271,0.00006866726,0.0002234944,0.0003858572,0.0003390316,0.0003558988],"domain_scores_gemma":[0.9992762,0.00001475027,0.0001772777,0.0002821194,0.00006681976,0.0001828529],"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":[0.0001623775,0.0004311666,0.1369262,0.000163238,0.0002413256,0.000002577018,0.004922485,0.00005480094,0.001111764,0.006527702,0.5897191,0.2597373],"study_design_scores_gemma":[0.000433139,0.00004450666,0.2470265,0.00002447347,0.00003220253,7.978942e-8,0.0000848112,0.00002962,0.00003484441,0.0008672065,0.7512428,0.0001798495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7299755,0.03918179,0.02339964,0.0576771,0.049523,0.01574261,0.0003791999,0.0003738927,0.08374725],"genre_scores_gemma":[0.7415577,0.09647979,0.003708918,0.000926526,0.005651238,0.0003645169,0.00007539334,0.00005053554,0.1511854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2595575,"threshold_uncertainty_score":0.9999213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02523995508657914,"score_gpt":0.265456123906314,"score_spread":0.2402161688197348,"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."}}