{"id":"W4239068171","doi":"10.1002/cjas.1534","title":"Issue Information Info page and TOC","year":2020,"lang":"en","type":"paratext","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Information retrieval; Computer science; Data science","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":[0.001285174,0.001586212,0.00229573,0.004214135,0.002435787,0.00704758,0.002404743,0.002623234,0.9735194],"category_scores_gemma":[0.01165638,0.00123061,0.001323423,0.004463087,0.0004969652,0.003414661,0.002012082,0.002090464,0.9425411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001774652,"about_ca_system_score_gemma":0.004018375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008278998,"about_ca_topic_score_gemma":0.01398847,"domain_scores_codex":[0.9989638,0.00007016439,0.00006137555,0.0001408086,0.0005953533,0.0001685566],"domain_scores_gemma":[0.9933603,0.0008253057,0.0001821882,0.0008313881,0.003106496,0.001694337],"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":[0.00002397873,0.00002695661,0.0000402603,0.0001144913,0.000001867233,0.000008653598,0.000005123959,0.00002043699,0.00007714405,0.000371829,0.9894251,0.009884314],"study_design_scores_gemma":[0.00003897069,0.0000251042,0.0003808635,0.0001120899,0.000005019596,0.00001794889,0.0000242135,0.00005704367,0.000205596,0.0006015461,0.9985217,0.000009872813],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000226336,0.0005196778,0.001053695,0.003113203,0.01313595,0.0007316132,0.134105,0.007781602,0.8393329],"genre_scores_gemma":[0.001323151,0.0006759986,0.0008065484,0.001124858,0.001188079,0.0002507005,0.0414324,0.002712687,0.9504855],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02648056,"threshold_uncertainty_score":0.03777122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107572155091849,"score_gpt":0.277661085509205,"score_spread":0.16690387000002,"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."}}