{"id":"W2467985234","doi":"","title":"Multitype Library Board: Saskatchewan Digital Alliance: Research & Publications","year":2016,"lang":"en","type":"article","venue":"","topic":"Digital Humanities and Scholarship","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Alliance; Library science; Digital library; Computer science; World Wide Web; Data science; Political science; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002439602,0.0008988231,0.0007494403,0.003296207,0.007474562,0.01174379,0.001934024,0.002524548,0.4910011],"category_scores_gemma":[0.006471723,0.001019083,0.0003447388,0.007163403,0.001079131,0.003928415,0.003824516,0.00229045,0.1829878],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01870009,"about_ca_system_score_gemma":0.1079003,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5915657,"about_ca_topic_score_gemma":0.8734937,"domain_scores_codex":[0.9982222,0.000135309,0.0001063238,0.0003453759,0.0007970034,0.0003937854],"domain_scores_gemma":[0.9852743,0.001547909,0.0003239011,0.001622201,0.008259743,0.002971869],"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":[0.0003280923,0.0001667082,0.005548003,0.000197896,0.00002310467,0.0002470939,0.0003610397,0.0001530141,0.001547816,0.006628,0.9122002,0.07259913],"study_design_scores_gemma":[0.00005989117,0.00003443245,0.02258651,0.0001739936,0.00002211911,0.00008208174,0.002295557,0.000480515,0.001999295,0.001188406,0.9710272,0.00004996688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02891536,0.001764948,0.001489291,0.01851693,0.00193705,0.0006979106,0.07507791,0.003123584,0.868477],"genre_scores_gemma":[0.01082558,0.0003651608,0.0006719608,0.0007282889,0.00003061544,0.0001074377,0.004666731,0.0002912052,0.982313],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9812999,"threshold_uncertainty_score":0.8216794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1271473166539681,"score_gpt":0.2970321654605492,"score_spread":0.1698848488065812,"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."}}