{"id":"W2334259754","doi":"10.1300/j111v45n01_07","title":"E-mail Reference in a Distributed Learning Environment","year":2006,"lang":"en","type":"article","venue":"Journal of Library Administration","topic":"Web and Library Services","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University","funders":"","keywords":"Digital reference; Computer science; Protocol (science); Service (business); Point (geometry); World Wide Web; Knowledge management; Set (abstract data type); Business; Medicine; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001388033,0.00008450337,0.0001261343,0.0001123188,0.0000410081,0.000227281,0.0004261427,0.00005015904,0.0000801889],"category_scores_gemma":[0.000005344192,0.0000740682,0.00004103125,0.0002171906,0.00001380884,0.004786021,0.00006136259,0.0002258999,0.00001241307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001321731,"about_ca_system_score_gemma":0.0001422056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003027251,"about_ca_topic_score_gemma":0.000001686797,"domain_scores_codex":[0.998981,0.0001041516,0.0004477572,0.000121072,0.0002197907,0.000126234],"domain_scores_gemma":[0.9994222,0.00005656695,0.0003347592,0.0001216482,0.000008222878,0.00005661281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000564266,0.001912583,0.5755591,0.0001440248,0.00005568688,0.002166948,0.0008882679,0.02148676,0.01133538,0.3542848,0.01117162,0.02043062],"study_design_scores_gemma":[0.001171189,0.001535483,0.7734125,0.0001308315,0.000009549848,0.0002994598,0.0001623475,0.01304667,0.01619923,0.02162424,0.172036,0.0003724935],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9458987,0.0003536434,0.03763658,0.007181792,0.0001555273,0.00008591697,0.00000517865,0.00006361915,0.008619058],"genre_scores_gemma":[0.987965,0.0000378184,0.01141828,0.00009331274,0.0001293867,0.000001043926,0.00002841109,0.000004595424,0.0003221431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3326606,"threshold_uncertainty_score":0.346975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00801631451615496,"score_gpt":0.1957798174197351,"score_spread":0.1877635029035801,"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."}}