{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485212,0.00009843428,0.0001417947,0.0001034293,0.0002058572,0.0001684705,0.0008828382,0.0001493901,0.0006049857],"category_scores_gemma":[0.0003101788,0.00008044888,0.00002590528,0.0009066079,0.00006228804,0.006119849,0.00009610628,0.0002579342,0.0006256229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000195109,"about_ca_system_score_gemma":0.001530705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5432559,"about_ca_topic_score_gemma":0.6785744,"domain_scores_codex":[0.998113,0.0002144337,0.000369074,0.0001556707,0.000676676,0.0004711438],"domain_scores_gemma":[0.9991562,0.0001452841,0.0001545519,0.0002376718,0.00002208707,0.0002842141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002430561,0.000009624375,0.9264953,0.000006870275,0.000005379673,2.677398e-7,0.02923874,0.000129901,0.00003158841,0.01542207,0.02734404,0.001291874],"study_design_scores_gemma":[0.0001608294,0.00004277362,0.6803955,0.00002288111,0.000002489293,2.737085e-7,0.003637034,0.000110921,0.0001138938,0.0006236152,0.3147679,0.0001218526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9491874,0.00004450177,0.0000149164,0.01587653,0.0006287615,0.0007676073,0.0002061286,0.00002090876,0.03325325],"genre_scores_gemma":[0.9937177,0.0001131778,0.00003548399,0.001829604,0.00005475894,0.00001754216,0.00006735985,0.000005115525,0.00415931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2874238,"threshold_uncertainty_score":0.8041325,"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."}}