{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001156285,0.0001741086,0.0001666713,0.0002017608,0.0005326586,0.00479844,0.001175828,0.0001171573,0.0001091904],"category_scores_gemma":[0.002013196,0.000164717,0.00003924912,0.0003620494,0.00005666679,0.4077998,0.0003812526,0.0003059955,0.00006687569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007079911,"about_ca_system_score_gemma":0.0004260834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003013304,"about_ca_topic_score_gemma":2.096131e-7,"domain_scores_codex":[0.9984556,0.0000655222,0.000735277,0.0002197406,0.0002893711,0.0002344732],"domain_scores_gemma":[0.9970224,0.001046812,0.001000585,0.0005388911,0.0002483745,0.0001429329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001236514,0.00005172235,0.00008289056,0.0006433112,0.00001069166,9.716741e-7,0.001445499,0.0001177863,0.000598671,0.958373,0.008329361,0.0302224],"study_design_scores_gemma":[0.0009536332,0.0001435729,0.00191122,0.0004379219,0.00001805683,0.00008435846,0.000394277,0.5092496,0.0186394,0.005108482,0.4625893,0.0004702236],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004203656,0.00004452561,0.9144586,0.05722614,0.0006597611,0.0008785453,0.000005745693,0.0002820941,0.02224091],"genre_scores_gemma":[0.2184939,0.0002261215,0.746545,0.03245868,0.0002158773,0.000150111,0.00006122454,0.00001500978,0.001834104],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9532645,"threshold_uncertainty_score":0.9962347,"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."}}