{"id":"W4247668967","doi":"10.5539/enrr.v8n1p119","title":"Reviewer Acknowledgements for Environment and Natural Resources Research, Vol. 8, No. 1","year":2018,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Natural resource; Engineering ethics; Computer science; Political science; Geography; Engineering; Archaeology; Law","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.007442116,0.0003621494,0.0003945424,0.0004146116,0.003640949,0.000329766,0.0007241437,0.0002565557,0.001889605],"category_scores_gemma":[0.006609018,0.0002991164,0.0001169907,0.0003212132,0.005230048,0.0003610715,0.001144891,0.000982461,0.001882584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005670206,"about_ca_system_score_gemma":0.0000466522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001330841,"about_ca_topic_score_gemma":0.00009446491,"domain_scores_codex":[0.9926049,0.001167555,0.0004660688,0.001133684,0.002983902,0.00164392],"domain_scores_gemma":[0.9967849,0.001100018,0.0001070488,0.0004705987,0.000999851,0.0005376055],"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":[0.0009868793,0.0004235617,0.02967591,0.0002636911,0.0002927493,0.00001568018,0.03298259,0.000002965623,0.002212408,0.0007109601,0.7712168,0.1612158],"study_design_scores_gemma":[0.0006737836,0.000366094,0.05070401,0.0001099585,0.00001570844,3.885334e-7,0.001872899,0.000103551,0.0001888749,0.0009102427,0.9446943,0.0003601488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458031,0.03518599,0.00001585038,0.003055901,0.002942692,0.003168993,0.00001817172,0.00006277522,0.00974654],"genre_scores_gemma":[0.5489526,0.07239721,0.001987231,0.0003641373,0.01272098,0.0006348983,0.00006363022,0.0001126735,0.3627666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3968505,"threshold_uncertainty_score":0.9999461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06022499178212658,"score_gpt":0.3570284253597448,"score_spread":0.2968034335776182,"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."}}