{"id":"W4236457240","doi":"10.18438/b80d0w","title":"EBLIP6 Conference Award Winners","year":2011,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; Operations research; Engineering","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":[0.008027657,0.001211735,0.001228118,0.002190613,0.002158782,0.009336658,0.002331535,0.006262764,0.5059099],"category_scores_gemma":[0.01219473,0.0003784569,0.001480008,0.001785767,0.00051903,0.002821381,0.006407038,0.004072667,0.3607424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002840562,"about_ca_system_score_gemma":0.005237932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465367,"about_ca_topic_score_gemma":0.003692818,"domain_scores_codex":[0.9950806,0.0005119273,0.0002165911,0.000424727,0.002725953,0.00104014],"domain_scores_gemma":[0.9843624,0.0006740252,0.0003506129,0.0004638364,0.007309294,0.006839863],"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":[0.0001312942,0.00002854082,0.00005213404,0.0001780306,0.000006256548,0.00003336063,0.000005245695,0.00002735423,0.0001029441,0.0006120067,0.9819611,0.01686178],"study_design_scores_gemma":[0.00007538714,0.00006055944,0.0005161692,0.0002258727,0.00001047037,0.00004574367,0.00003985175,0.0000726689,0.0001986395,0.0007834104,0.9979615,0.000009685362],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002226985,0.01730222,0.00279315,0.1249696,0.3736753,0.001924776,0.01492904,0.000894505,0.4612845],"genre_scores_gemma":[0.00679619,0.006040556,0.001166499,0.01479481,0.03833947,0.0007136658,0.008396449,0.0006538903,0.9230984],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5059099,"threshold_uncertainty_score":0.7047595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0644927699513375,"score_gpt":0.2173767273959851,"score_spread":0.1528839574446476,"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."}}