{"id":"W4245453960","doi":"10.1002/cjs.11465","title":"Issue Information","year":2019,"lang":"en","type":"paratext","venue":"Canadian Journal of Statistics","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Statistics Canada","funders":"","keywords":"Citation; Computer science; Information retrieval; World Wide Web; Library science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002879791,0.001616354,0.002262004,0.009218563,0.002672007,0.01106937,0.001976774,0.002423391,0.7609414],"category_scores_gemma":[0.03667127,0.0008923078,0.001103395,0.01407884,0.001020365,0.004057258,0.001840206,0.00369024,0.7913412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003345568,"about_ca_system_score_gemma":0.0115192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0208629,"about_ca_topic_score_gemma":0.03139366,"domain_scores_codex":[0.9952556,0.0003306763,0.0004329769,0.0005032358,0.003097572,0.0003799558],"domain_scores_gemma":[0.9581727,0.003627602,0.001452242,0.002723424,0.02928197,0.004741994],"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":[0.000005811859,0.000005079811,0.00003696739,0.00004592189,8.473056e-7,0.000004106419,0.000004001994,0.0000144779,0.00002101517,0.0004156229,0.9897783,0.009667818],"study_design_scores_gemma":[0.000009988257,0.000007460625,0.0004877223,0.00008860078,0.000001694667,0.00001617802,0.00001765791,0.00004232561,0.00004205474,0.0009097361,0.9983693,0.000007299742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0003663623,0.002610731,0.002901827,0.01566899,0.05903329,0.001209683,0.1620847,0.004587579,0.7515368],"genre_scores_gemma":[0.001147759,0.002208029,0.001496538,0.003608707,0.007810645,0.000387592,0.05745683,0.001941294,0.9239426],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2390586,"threshold_uncertainty_score":0.340988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009082278252042273,"score_gpt":0.2422377883731352,"score_spread":0.233155510121093,"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."}}