{"id":"W4309978759","doi":"10.18438/b8f30t","title":"Ingenta Research Award","year":2006,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Library science; World Wide Web; Data science","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":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.01198563,0.000100152,0.0001316992,0.0006275827,0.0004865371,0.006637598,0.001313103,0.0001293032,0.0006312845],"category_scores_gemma":[0.03349753,0.000075367,0.00003424949,0.002043311,0.0001452098,0.6014612,0.0004355547,0.0006518263,0.0007881503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001430152,"about_ca_system_score_gemma":0.0003244043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006234678,"about_ca_topic_score_gemma":8.167869e-8,"domain_scores_codex":[0.9956088,0.001032017,0.000783472,0.0002529739,0.002045826,0.000276889],"domain_scores_gemma":[0.9838916,0.01476037,0.0004281717,0.000452014,0.0003304436,0.0001373892],"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":[0.0002487148,0.00002883584,0.01242352,0.00001519059,0.000003547774,0.000004517238,0.0001541268,0.0002705726,0.00002004022,0.3454788,0.6014177,0.03993449],"study_design_scores_gemma":[0.0001547621,0.00004091501,0.02199884,0.00006786222,0.000003906576,0.00001292166,0.001144516,0.003553686,0.000757875,0.006979033,0.9651809,0.0001047529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04634912,0.001900707,0.0101837,0.7146124,0.0006862337,0.0005359594,0.00002409853,0.0002412935,0.2254665],"genre_scores_gemma":[0.907896,0.0005733526,0.005598433,0.08123641,0.0004409934,0.00003330242,0.0000465611,0.0000102447,0.004164703],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8615469,"threshold_uncertainty_score":0.9999899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1184270089856965,"score_gpt":0.4339622644046517,"score_spread":0.3155352554189553,"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."}}