{"id":"W4232371192","doi":"10.1111/capa.12368","title":"Issue Information","year":2021,"lang":"en","type":"paratext","venue":"Canadian Public Administration","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Government of Canada","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library science; Internet privacy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001171037,0.0002466226,0.0001987389,0.00009505661,0.0003142207,0.0004449962,0.0002583007,0.0004265893,0.2026498],"category_scores_gemma":[0.00004533174,0.0002806754,0.00007900396,0.0002709171,0.0001190835,0.001368831,0.00006651354,0.0002900542,0.0960468],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002116964,"about_ca_system_score_gemma":0.001229393,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.009882177,"about_ca_topic_score_gemma":0.2131754,"domain_scores_codex":[0.9985025,0.00006449498,0.0003198049,0.000249496,0.0003884638,0.00047522],"domain_scores_gemma":[0.9987264,0.00001161196,0.0001747217,0.0002857151,0.00001411006,0.0007874131],"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":[0.000001136502,0.00001969721,0.0004475516,0.00001272363,0.00001564723,0.000007922089,0.0000732134,0.000002472477,0.00001522927,0.0001907189,0.99048,0.008733667],"study_design_scores_gemma":[0.00009340228,0.00004871977,0.001397777,0.00001048933,0.00001059119,0.000008639744,0.0002204452,0.0000193604,0.00006587947,0.00002111081,0.9978137,0.0002899086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.003412141,0.00006938394,0.0001654529,0.01375797,0.003219847,0.0004025173,0.0006059336,0.00002068321,0.978346],"genre_scores_gemma":[0.6273031,0.0001230932,0.000227589,0.004459261,0.0005492712,0.00007133799,0.01452124,0.00003198747,0.3527132],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6256329,"threshold_uncertainty_score":0.9999645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01264583282524345,"score_gpt":0.2617739165414839,"score_spread":0.2491280837162404,"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."}}