{"id":"W1516388499","doi":"10.1108/02640470710729083","title":"Federal Science eLibrary Pilot","year":2007,"lang":"en","type":"article","venue":"The Electronic Library","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Government (linguistics); Work (physics); Originality; Alliance; Computer science; Public relations; Library science; Business; World Wide Web; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008423745,0.0005908532,0.0005196993,0.001710268,0.006438172,0.002522157,0.003184624,0.001142946,0.02357077],"category_scores_gemma":[0.01302261,0.0006092054,0.0005550748,0.00329014,0.001978529,0.001367774,0.003951323,0.00151278,0.004670644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02251135,"about_ca_system_score_gemma":0.0961406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6932138,"about_ca_topic_score_gemma":0.724816,"domain_scores_codex":[0.9919088,0.001578972,0.0002097811,0.0006920985,0.003101295,0.002508971],"domain_scores_gemma":[0.9747794,0.002583919,0.000723382,0.002817159,0.01228032,0.006815896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01437761,0.02114369,0.1036682,0.001258691,0.000164891,0.002777371,0.01986972,0.004001103,0.02667852,0.02124492,0.2354968,0.5493184],"study_design_scores_gemma":[0.00414732,0.01349221,0.2838633,0.0003151897,0.0002063527,0.0006718547,0.02987671,0.005479769,0.0275387,0.003361844,0.6307691,0.0002776493],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7864146,0.000455566,0.01016269,0.006832748,0.000377195,0.03487983,0.0191606,0.003584588,0.1381321],"genre_scores_gemma":[0.8112437,0.0006396309,0.04535652,0.003717227,0.0001339961,0.02591502,0.0168955,0.0004352757,0.09566308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9974778,"threshold_uncertainty_score":0.617186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3907233330194798,"score_gpt":0.5276591830770152,"score_spread":0.1369358500575354,"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."}}