{"id":"W4240731020","doi":"10.1002/ir.20249","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"New Directions for Institutional Research","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citation; Computer science; World Wide Web; Data science; Library science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005445431,0.0002143681,0.00021906,0.0002225103,0.001105619,0.0001678196,0.000388662,0.0003574848,0.04870163],"category_scores_gemma":[0.0001902592,0.0002096952,0.0001614099,0.0005313469,0.0004363952,0.001054805,0.0002375896,0.0006538059,0.2888652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002140649,"about_ca_system_score_gemma":0.0004757921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003653381,"about_ca_topic_score_gemma":0.0001571437,"domain_scores_codex":[0.9974865,0.00008358954,0.0003027046,0.0003254478,0.00125427,0.0005475319],"domain_scores_gemma":[0.9991581,0.0001820763,0.00008857004,0.0002844563,0.00004476269,0.0002420672],"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":[0.00002968967,0.00007756604,0.0001134522,0.00003345404,0.00003115107,2.268262e-7,0.0001221124,0.002135445,0.0001470797,0.0005006167,0.9727482,0.02406096],"study_design_scores_gemma":[0.0003777645,0.0001101239,0.001430776,0.00003886013,0.000009427408,0.000002965575,0.00007404134,0.00008309315,0.000235154,0.0004520134,0.9969711,0.0002146296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006986345,0.0001543741,0.001951958,0.0007607907,0.006465965,0.001418144,0.0005516692,0.00002956053,0.9879689],"genre_scores_gemma":[0.007111693,0.0006556954,0.0008550818,0.0002811929,0.00112611,0.0003132309,0.001884555,0.00002524974,0.9877472],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2401636,"threshold_uncertainty_score":0.952168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06275533179491569,"score_gpt":0.4105390297229517,"score_spread":0.347783697928036,"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."}}