{"id":"W3134105210","doi":"10.18438/eblip29789","title":"Survey of Canadian Academic Librarians Outlines Integration of Traditional and Emerging Services","year":2020,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cronbach's alpha; Library science; Survey research; Medical education; Population; Focus group; Psychology; Public relations; Political science; Sociology; Medicine; Business; Marketing; Applied psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.004235212,0.0003322176,0.0004849163,0.01184114,0.004579971,0.003265443,0.001573576,0.000769293,0.01248807],"category_scores_gemma":[0.01642118,0.0004339191,0.0005170879,0.03180541,0.001046441,0.00183242,0.001740716,0.0006574707,0.003313914],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03786262,"about_ca_system_score_gemma":0.08398043,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9538667,"about_ca_topic_score_gemma":0.9740703,"domain_scores_codex":[0.9917852,0.0007297087,0.0007730592,0.0006384515,0.004883872,0.001189801],"domain_scores_gemma":[0.9743234,0.002048046,0.002770251,0.0005507048,0.01767288,0.002634716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001293032,0.0001097438,0.6076884,0.002279268,0.00006597337,0.0002908687,0.01615758,0.000123087,0.0007829069,0.002839745,0.1383479,0.2311853],"study_design_scores_gemma":[0.000009323866,0.00003947824,0.8386729,0.0003853909,0.00003335132,0.0002363137,0.01199303,0.000117759,0.0002287973,0.00009707032,0.1481434,0.0000431427],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7224059,0.02089927,0.001742812,0.01781133,0.0002498562,0.001827404,0.08932162,0.0004385389,0.1453033],"genre_scores_gemma":[0.8906507,0.01830897,0.004899169,0.008475819,0.000112006,0.0006811842,0.02400939,0.0001011569,0.05276163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9967346,"threshold_uncertainty_score":0.2747138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0629613622988158,"score_gpt":0.2946027979653616,"score_spread":0.2316414356665458,"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."}}