{"id":"W6894358200","doi":"10.5683/sp2/8fv9bl","title":"Perspectives Canada: Volume VII No. 4 Fourth Quarter 1998","year":2019,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sample (material); Quarter (Canadian coin); Government (linguistics); Current (fluid); Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001823426,0.001557691,0.001693831,0.009901662,0.003642012,0.009463048,0.001989942,0.001344791,0.2771017],"category_scores_gemma":[0.007959178,0.001128787,0.000990498,0.03527547,0.0006376769,0.001772802,0.001604168,0.002349389,0.1213096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03028963,"about_ca_system_score_gemma":0.06291118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9299745,"about_ca_topic_score_gemma":0.937171,"domain_scores_codex":[0.9965473,0.0001421185,0.000132293,0.0003974696,0.00213786,0.0006429796],"domain_scores_gemma":[0.9905902,0.0008377144,0.0003822736,0.000754915,0.006204759,0.001230135],"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":[0.000009965949,0.000004004878,0.0003664416,0.00005686657,0.000003041009,0.000005210301,0.0000196941,0.00002591418,0.000006711119,0.0003160747,0.9960408,0.003145314],"study_design_scores_gemma":[0.00001301941,0.000002318582,0.007731353,0.0001567119,0.000004797602,0.000007732248,0.0001752705,0.0000732496,0.00004505153,0.0002526168,0.9915277,0.00001024181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003468385,0.0006476446,0.00007775778,0.001243833,0.0003097461,0.00002762246,0.9747546,0.000173293,0.02241873],"genre_scores_gemma":[0.002670316,0.001815122,0.0003508314,0.0003728062,0.0001397415,0.0001500384,0.9203644,0.0002390597,0.07389765],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2771017,"threshold_uncertainty_score":0.9269974,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01163446469931153,"score_gpt":0.2369409833380053,"score_spread":0.2253065186386937,"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."}}