{"id":"W2008941487","doi":"10.1080/0194262x.2012.730465","title":"Information Needs and Library Services for Doctoral Students and Postdoctoral Scholars at Georgia State University","year":2012,"lang":"en","type":"article","venue":"Science & Technology Libraries","topic":"Web and Library Services","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Interlibrary loan; Library science; Face (sociological concept); State (computer science); Sociology; Political science; Public relations; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0002321827,0.000170943,0.000161868,0.001173877,0.0008635227,0.001335478,0.001964923,0.0001207888,0.00000797504],"category_scores_gemma":[0.00001085061,0.0001574011,0.00002022851,0.002223581,0.001030272,0.06150831,0.003476097,0.0001387382,0.00001232879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002347549,"about_ca_system_score_gemma":0.0001605476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001204172,"about_ca_topic_score_gemma":0.00000291181,"domain_scores_codex":[0.9987665,0.00002300431,0.0001688874,0.0002177916,0.0002661197,0.0005576445],"domain_scores_gemma":[0.9992045,0.00004522174,0.0001266287,0.0003731437,0.00003836336,0.0002121217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003181782,0.00002177091,0.7436182,0.00004887509,0.000009007517,8.714669e-7,0.00480474,9.463423e-7,0.0003913523,0.2454024,0.00008931683,0.005580774],"study_design_scores_gemma":[0.001246145,0.0003868921,0.7109126,0.00005837744,0.00001981416,0.00006143758,0.005673299,0.001230272,0.02025648,0.04109999,0.218361,0.0006937137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929646,0.0006048944,0.0005564375,0.004309888,0.0002509951,0.0002449184,0.00002460345,0.0006070446,0.0004366061],"genre_scores_gemma":[0.984828,0.00006073591,0.01391251,0.0007710378,0.00001926861,0.000004002748,0.00001035882,0.000006160975,0.0003879469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2182717,"threshold_uncertainty_score":0.9997012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007964137759866987,"score_gpt":0.2136080163728074,"score_spread":0.2056438786129404,"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."}}