{"id":"W6976904178","doi":"10.6068/dp14ba811203463","title":"Trend 2009 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Information and Culture | Country: Canada | Table: Periodical publishers, operating expenses, by North American Industry Classification System (NAICS) | Variable: All other expenses, Periodical publishers | Units: %, 2009-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-011.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"Health, Education, and Cultural Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Official statistics; Economic statistics; Publishing; Publication; The Internet; Information industry; Entertainment; Index (typography)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008627277,0.000685719,0.0009305079,0.00007227034,0.0014456,0.003794979,0.001354792,0.0007627964,0.002005889],"category_scores_gemma":[0.0001931032,0.0005162056,2.782618e-7,0.0003747062,0.001186811,0.002883896,0.0002473072,0.001123887,0.00002805881],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000532744,"about_ca_system_score_gemma":0.03200145,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9999053,"about_ca_topic_score_gemma":0.9996729,"domain_scores_codex":[0.9947948,0.0007844542,0.00102226,0.001008763,0.001470313,0.0009194351],"domain_scores_gemma":[0.9961671,0.0002286833,0.001009488,0.001089105,0.0004662462,0.001039356],"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":[0.00002794743,0.00004380986,0.0004002116,0.000627049,0.0001675161,0.00001463221,0.000416661,7.253409e-7,3.051103e-7,0.0001350906,0.99762,0.0005460462],"study_design_scores_gemma":[0.0003782507,0.00003423731,0.00006058421,0.00004429836,0.0001863792,0.00004028503,0.04240227,0.0002377403,2.300552e-9,2.279058e-8,0.9559109,0.0007049914],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001227576,0.004692697,0.000001565648,0.0001455372,0.0006291537,0.0009225125,0.9886233,0.0001031118,0.004869903],"genre_scores_gemma":[0.00005983796,0.002239741,0.0001229101,0.001217375,0.0003904479,0.00005453083,0.9914083,0.00008717094,0.004419688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04198562,"threshold_uncertainty_score":0.9998544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02895508052872707,"score_gpt":0.2593982371683375,"score_spread":0.2304431566396104,"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."}}