{"id":"W2972758659","doi":"10.5860/dttp.v47i3.7121","title":"Government Information in Canadian Academic Libraries, 2017–2018: Survey of Academic Librarians","year":2019,"lang":"en","type":"article","venue":"DttP Documents to the People","topic":"Library Science and Administration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University","keywords":"Government (linguistics); Academic library; Political science; Library science; Scale (ratio); Public relations; Public administration; Geography; Computer science","routes":{"ca_aff":false,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003459113,0.000292586,0.0005461809,0.007142235,0.009031522,0.004753966,0.002228621,0.0008779065,0.003607161],"category_scores_gemma":[0.01313883,0.000468628,0.0005016917,0.02723529,0.002140044,0.00205251,0.002741669,0.001188194,0.0009588192],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07368517,"about_ca_system_score_gemma":0.1272151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9958197,"about_ca_topic_score_gemma":0.9975131,"domain_scores_codex":[0.9927712,0.0004296313,0.0004057335,0.0003618578,0.004254113,0.001777496],"domain_scores_gemma":[0.9801759,0.0009689971,0.002790399,0.0002493891,0.01263346,0.003181786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001770399,0.0001289865,0.8482116,0.0007127037,0.00006802025,0.0003663243,0.05265886,0.0001190468,0.0004690824,0.00117835,0.04731954,0.04859047],"study_design_scores_gemma":[0.000009125646,0.0000336695,0.8860994,0.0002004147,0.00002863195,0.0001185159,0.06752532,0.0001332776,0.0001656364,0.00005975531,0.04556981,0.00005640247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.945622,0.004338403,0.0001624847,0.009098141,0.00009314941,0.0002086636,0.01201647,0.00007470866,0.02838612],"genre_scores_gemma":[0.9799753,0.004593743,0.0003514992,0.002783249,0.00004832693,0.0001113027,0.004275812,0.00002661861,0.007834072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952461,"threshold_uncertainty_score":0.5346258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02372866041081096,"score_gpt":0.2895665966947976,"score_spread":0.2658379362839867,"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."}}