{"id":"W4252799992","doi":"10.1093/notesj/gjl034","title":"Readers' Queries","year":2006,"lang":"en","type":"article","venue":"Notes and Queries","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Volume (thermodynamics); Library science; Information retrieval; Computer science; World Wide Web; History","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":[0.00008131973,0.00006658298,0.00007282489,0.00003993553,0.0001590312,0.0001974364,0.0001208103,0.00003340355,0.00002071974],"category_scores_gemma":[0.00002278893,0.00005220816,0.00002101317,0.0001130813,0.00009884214,0.0006474489,0.00007586124,0.00005232593,0.00002348489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006252357,"about_ca_system_score_gemma":0.00002356944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002791607,"about_ca_topic_score_gemma":0.00003673688,"domain_scores_codex":[0.9994888,0.00001155167,0.0001151527,0.0001006909,0.0001340633,0.0001497092],"domain_scores_gemma":[0.9997083,0.00004701588,0.00002677103,0.00013309,0.00005077555,0.00003403328],"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":[0.00000921703,0.00002279594,0.009026443,0.00002679848,0.000003272458,0.000008898248,0.002113152,0.000007372846,0.0007687406,0.9349248,0.001371863,0.0517166],"study_design_scores_gemma":[0.001048499,0.0005126036,0.3295889,0.00006026929,0.00001537215,0.0001211713,0.00131963,0.00640433,0.07923185,0.0461602,0.5344452,0.001092006],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6130366,0.0007143854,0.3590578,0.009963061,0.0004113069,0.0002382074,0.00001352288,0.0005194623,0.01604566],"genre_scores_gemma":[0.980004,0.00003397203,0.01849323,0.000312304,0.0000613026,0.000007113549,0.000005248625,0.000003235162,0.001079612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8887647,"threshold_uncertainty_score":0.2128987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0128644104309648,"score_gpt":0.23095272078073,"score_spread":0.2180883103497652,"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."}}