{"id":"W2301077500","doi":"","title":"The Virtual Reference Desk","year":2006,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Context (archaeology); Reference desk; Advice (programming); Computer science; Desk; World Wide Web; Set (abstract data type); Library science; Work (physics); Test (biology); Political science; Engineering; Law; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007908625,0.00008917669,0.00006708453,0.00003278486,0.001078451,0.0006177078,0.0006452553,0.00003587974,0.0001964517],"category_scores_gemma":[0.0002794221,0.00005965222,0.00003609221,0.0005711056,0.0003561498,0.004054291,0.00005626324,0.0001305,0.0004806601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005025899,"about_ca_system_score_gemma":0.0002091405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003112632,"about_ca_topic_score_gemma":0.00006064635,"domain_scores_codex":[0.9980356,0.000199343,0.0002582596,0.0001558987,0.0004739174,0.0008769538],"domain_scores_gemma":[0.9992744,0.0001323638,0.00009803381,0.0002183804,0.00007446492,0.0002023199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000137216,0.00002815197,0.01457409,0.000001517997,0.000003933596,0.000004480625,0.01285208,0.00002435483,0.00002509961,0.8624899,0.05684608,0.05313654],"study_design_scores_gemma":[0.00008012959,0.000009739584,0.1024453,0.000003006848,0.000001650227,5.858734e-7,0.0007221089,0.00001593031,0.00009657812,0.0008251265,0.8957129,0.00008689152],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3513454,0.0002104142,0.00008012479,0.009657884,0.001413231,0.0003635705,0.000009929443,0.0002099635,0.6367095],"genre_scores_gemma":[0.9470993,0.000349188,0.00009354554,0.001538174,0.0006781693,0.00001956928,0.00001083066,0.000007805961,0.05020345],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8616648,"threshold_uncertainty_score":0.8294683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01875560141452808,"score_gpt":0.2340539197681296,"score_spread":0.2152983183536015,"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."}}