{"id":"W1585024517","doi":"10.22230/src.2010v1n1a18","title":"Who Knows What, When? Current and Desired Capacities for Online Journal Statistics Gathering and Dissemination","year":2010,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Publishing; Summary statistics; Computer science; Set (abstract data type); Data science; Data collection; Statistics; Variety (cybernetics); Knowledge management; World Wide Web; Political science; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003985117,0.00007929282,0.0001130168,0.0002311185,0.0009699237,0.00479403,0.0006823436,0.00005409198,0.0000029465],"category_scores_gemma":[0.001627994,0.00006824334,0.00001323935,0.0001609659,0.0003519788,0.005875166,0.0005561494,0.0009837458,6.54445e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002279169,"about_ca_system_score_gemma":0.00006161028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002307463,"about_ca_topic_score_gemma":0.0003325131,"domain_scores_codex":[0.9986545,0.0003747757,0.0002016326,0.0001938432,0.0003751829,0.0002000234],"domain_scores_gemma":[0.99733,0.0009547841,0.00008726816,0.0005972058,0.0008866948,0.0001440723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001230846,0.00006669093,0.0007981054,0.00005631318,0.00001919282,5.907025e-7,0.004086221,4.536188e-7,0.004041604,0.05006094,0.0007718531,0.9400857],"study_design_scores_gemma":[0.002128673,0.0007909522,0.1264612,0.002134151,0.00009383213,0.0002108408,0.009572573,0.3600481,0.002318903,0.3973824,0.0979348,0.0009234725],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5890511,0.02232373,0.3816992,0.006044453,0.0001963672,0.0005025127,0.00008949269,0.00003861677,0.00005450303],"genre_scores_gemma":[0.6570052,0.03424548,0.3083378,0.00002958338,0.00008140222,0.00003536059,0.0000902141,0.00001324741,0.0001617185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9391623,"threshold_uncertainty_score":0.9962391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08849070214627267,"score_gpt":0.408751062300207,"score_spread":0.3202603601539343,"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."}}