{"id":"W4312946242","doi":"10.18438/b8w919","title":"Registration Now Open for EBLIG Mini-Conference during CLA 2010","year":2010,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Mathematics, Computing, and Information Processing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007784867,0.001193459,0.002757278,0.00383646,0.002339804,0.00731693,0.004572145,0.007401651,0.7587716],"category_scores_gemma":[0.02784171,0.0005510931,0.001335148,0.003858011,0.0009666493,0.00475865,0.003945058,0.0033436,0.6193091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116617,"about_ca_system_score_gemma":0.01174286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004768524,"about_ca_topic_score_gemma":0.008137111,"domain_scores_codex":[0.9959041,0.000787678,0.0006652311,0.0004439897,0.001440031,0.0007589184],"domain_scores_gemma":[0.9762814,0.002827962,0.001329456,0.002833034,0.01159064,0.005137532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007244945,0.00004752713,0.0001201211,0.0009063306,0.000009079478,0.00004659392,0.00002190991,0.00002354871,0.0001952064,0.001250756,0.9613179,0.03533658],"study_design_scores_gemma":[0.000440155,0.0001593233,0.002113824,0.00105254,0.00002059956,0.00008006298,0.00009083509,0.0001165359,0.0005001406,0.002100998,0.9932957,0.00002927547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002186775,0.008316588,0.002884678,0.04260629,0.08726904,0.007758073,0.1486852,0.003447434,0.6968459],"genre_scores_gemma":[0.006221909,0.002156689,0.001887594,0.006172468,0.007912311,0.003272315,0.04763886,0.001112269,0.9236255],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7587716,"threshold_uncertainty_score":0.344083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874955251548847,"score_gpt":0.2827376806707004,"score_spread":0.2539881281552119,"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."}}