{"id":"W1514869427","doi":"10.18438/b8d89n","title":"EBLIP Returns Down Under","year":2014,"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; Econometrics; Economics","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":[0.001096766,0.0001539638,0.0001422387,0.0002340879,0.0003112578,0.001888162,0.0005775966,0.00007732792,0.0001121101],"category_scores_gemma":[0.001637255,0.0001352795,0.00003751317,0.0005082335,0.00004708319,0.3774099,0.0002351635,0.0002152806,0.0001946708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008847683,"about_ca_system_score_gemma":0.0001572342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001231921,"about_ca_topic_score_gemma":7.265858e-9,"domain_scores_codex":[0.9984967,0.0001688678,0.000591595,0.000157764,0.0003698072,0.0002152353],"domain_scores_gemma":[0.9970922,0.001576892,0.0006192341,0.0004590394,0.0001102189,0.0001424085],"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":[0.00001351349,0.00001461401,0.00002775353,0.0001664476,0.000004752155,2.607663e-7,0.0006869314,0.0005548382,0.000006559869,0.9620108,0.002945239,0.03356827],"study_design_scores_gemma":[0.0002519368,0.00007581916,0.0005874432,0.0002478064,0.000008142175,0.00003590404,0.000245929,0.5198388,0.0009042285,0.005802443,0.4717835,0.000218149],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004206334,0.0001234964,0.906351,0.0483643,0.0002364212,0.0001374783,7.52638e-7,0.0003754011,0.04399048],"genre_scores_gemma":[0.4008266,0.0003746806,0.3265848,0.2715666,0.0001903641,0.00001974795,0.00002272721,0.00001213546,0.0004023979],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9562083,"threshold_uncertainty_score":0.999148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01394401542650961,"score_gpt":0.244971606766729,"score_spread":0.2310275913402194,"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."}}