{"id":"W4234148524","doi":"10.1002/cjs.11294","title":"Cover ‐ Volume 44, Number 3, September 2016","year":2016,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Citation; Volume (thermodynamics); Information retrieval; Library science; Computer science; Engineering; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008152064,0.001230558,0.001281558,0.005185546,0.001589413,0.0047418,0.001166979,0.001356488,0.6366566],"category_scores_gemma":[0.004803259,0.0004399209,0.0006790584,0.004749239,0.0008585018,0.002103683,0.001847958,0.001392609,0.5759817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00255831,"about_ca_system_score_gemma":0.002929639,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0120916,"about_ca_topic_score_gemma":0.02404594,"domain_scores_codex":[0.9990423,0.00007239913,0.00005734248,0.000107904,0.0006027889,0.00011726],"domain_scores_gemma":[0.9957317,0.0007498774,0.0001960215,0.0003950646,0.002017905,0.0009094932],"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":[0.00002425962,0.00001337185,0.0001341075,0.00006503899,0.000002287808,0.0000106353,0.000006854909,0.00004615211,0.0001358595,0.0007060832,0.9757982,0.02305718],"study_design_scores_gemma":[0.00001100788,0.00001406837,0.001224398,0.0001340671,0.000003632334,0.00003665793,0.00002709934,0.0001674783,0.0001530868,0.0009668219,0.997255,0.000006691278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001596986,0.006064257,0.001438456,0.008456845,0.04397457,0.0003765569,0.01618406,0.001954773,0.9199535],"genre_scores_gemma":[0.001999566,0.002532098,0.0002701698,0.0009210136,0.004058128,0.00005009631,0.003270393,0.0003940256,0.9865044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3633434,"threshold_uncertainty_score":0.5182652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02751740994117908,"score_gpt":0.190508442174206,"score_spread":0.1629910322330269,"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."}}