{"id":"W4252470181","doi":"10.18438/b8qg9h","title":"Call for Proposals: C-EBLIP Fall Symposium 2016","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library 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":[],"category_scores_codex":[0.009648909,0.001258034,0.001409728,0.002140166,0.004137923,0.008242047,0.003735983,0.0313412,0.5837585],"category_scores_gemma":[0.035077,0.0006600375,0.002699323,0.001331876,0.001730136,0.005089,0.005715814,0.01171597,0.4427163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003141742,"about_ca_system_score_gemma":0.00917393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003724137,"about_ca_topic_score_gemma":0.01088811,"domain_scores_codex":[0.9951362,0.0006434318,0.0003248237,0.0006212632,0.002342903,0.0009314128],"domain_scores_gemma":[0.9745438,0.00381054,0.0007488971,0.001573195,0.01101244,0.008311123],"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":[0.00009067297,0.00003545533,0.0000523648,0.00006700039,0.000003436233,0.00004588229,0.00000641627,0.00001911876,0.00008236985,0.0005972739,0.991071,0.007929066],"study_design_scores_gemma":[0.00006175403,0.00004689485,0.0003911232,0.0001797013,0.000007316473,0.00004478072,0.00006222578,0.00008239475,0.00009660088,0.001320463,0.9976863,0.00002043784],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0008659816,0.003051434,0.002211374,0.46167,0.2770467,0.001759646,0.003072598,0.002035077,0.2482872],"genre_scores_gemma":[0.00225047,0.001023399,0.001736523,0.1122444,0.02937373,0.0006494974,0.002031112,0.0006321357,0.8500588],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5837585,"threshold_uncertainty_score":0.593718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480074276029863,"score_gpt":0.2530789406633408,"score_spread":0.2382781979030422,"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."}}