{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02859649,0.002788351,0.005636363,0.007819062,0.004546291,0.00730283,0.005425374,0.0131197,0.07789427],"category_scores_gemma":[0.3984809,0.001426448,0.00398067,0.003502019,0.00242105,0.00643217,0.003808336,0.01036326,0.0381707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005281855,"about_ca_system_score_gemma":0.009473351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0054214,"about_ca_topic_score_gemma":0.008691239,"domain_scores_codex":[0.9656529,0.006927242,0.007238412,0.002339049,0.01645243,0.001389909],"domain_scores_gemma":[0.3346568,0.03422107,0.01345901,0.00535998,0.6054742,0.006828973],"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":[0.00001662203,0.000002638667,0.00005582595,0.0004160298,0.000006549813,0.00006406064,0.00003977946,0.000006351016,0.00002619046,0.00009833837,0.9967042,0.002563446],"study_design_scores_gemma":[0.00009524376,0.00002795369,0.0006923583,0.003488468,0.00007029368,0.0009495093,0.0004006017,0.0001603438,0.000200927,0.0009872806,0.9928289,0.00009811721],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00009101937,0.003530378,0.0007040636,0.1547776,0.8375716,0.0003690368,0.000574182,0.0002857693,0.002096451],"genre_scores_gemma":[0.004082644,0.01033405,0.00236497,0.2033761,0.7242699,0.002286348,0.001558753,0.0009898844,0.05073733],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.07789427,"threshold_uncertainty_score":0.2605823,"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."}}