{"id":"W2548050310","doi":"","title":"From Research Help to Ask Us – The Evolution of Reference Service at the University of Guelph Library","year":2013,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Library Collection Development and Digital Resources","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ask price; Service (business); Library science; Media studies; Sociology; History; Computer science; Business; Marketing","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02335406,0.0003256248,0.0005416496,0.0028825,0.01435784,0.01841692,0.00403302,0.003815768,0.008748704],"category_scores_gemma":[0.02302739,0.00112973,0.0004148884,0.005212117,0.01320818,0.0131863,0.01097152,0.004443407,0.002231551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05014768,"about_ca_system_score_gemma":0.07412405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3350207,"about_ca_topic_score_gemma":0.4443704,"domain_scores_codex":[0.9645655,0.01954358,0.001186942,0.002668871,0.007331734,0.004703445],"domain_scores_gemma":[0.9716412,0.005108487,0.001177299,0.002711457,0.00658985,0.01277174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003967432,0.0004702329,0.01448661,0.0006865555,0.00002834326,0.002390592,0.2731505,0.000700324,0.003668162,0.07138299,0.07209112,0.5605479],"study_design_scores_gemma":[0.00005613699,0.0007102003,0.03027802,0.0007836238,0.00002572039,0.001546106,0.1298473,0.001125197,0.002306015,0.00391462,0.8291883,0.0002187447],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5909801,0.01105371,0.01525142,0.181781,0.001025123,0.001070849,0.0004426166,0.002615078,0.1957802],"genre_scores_gemma":[0.8471831,0.004959931,0.03389917,0.01427955,0.0002852221,0.0004426524,0.0003671563,0.0008903528,0.09769293],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9815831,"threshold_uncertainty_score":0.6661413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03133424254775164,"score_gpt":0.2133767337085674,"score_spread":0.1820424911608158,"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."}}