{"id":"W2009151631","doi":"10.1300/j204v03n04_03","title":"Post-Master's Educational Needs of Information Professionals","year":2006,"lang":"en","type":"article","venue":"Journal of Access Services","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preference; Degree program; Educational program; Medical education; Population; Continuing education; Psychology; Library science; Management; Sociology; Medicine; Political science; Computer science; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756523,0.0001128009,0.0002574751,0.001491131,0.0009959717,0.001376815,0.0002719697,0.0006431132,0.009765243],"category_scores_gemma":[0.01239746,0.0001666758,0.0001753173,0.0005871363,0.000324628,0.001173205,0.001020437,0.0006166444,0.001260278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005668009,"about_ca_system_score_gemma":0.001084476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004591854,"about_ca_topic_score_gemma":0.006226253,"domain_scores_codex":[0.9990006,0.0002389492,0.00005970199,0.00005405577,0.0002476115,0.0003991161],"domain_scores_gemma":[0.9878134,0.004068208,0.001791181,0.0001932588,0.002220966,0.003912904],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002616943,0.00126719,0.8571209,0.0001746656,0.00001609506,0.0009046971,0.0681091,0.00006853403,0.001104937,0.0005698892,0.004077356,0.0663249],"study_design_scores_gemma":[0.00001702374,0.0006802899,0.8725185,0.0001207648,0.00001183053,0.0006536716,0.1166606,0.0002548925,0.0004500106,0.0003335938,0.008277155,0.0000215842],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951675,0.0001180817,0.00002559572,0.0006522196,0.000009504999,0.00001247564,0.00007614482,0.000003491839,0.003934976],"genre_scores_gemma":[0.9970009,0.000144964,0.00005303197,0.0002096387,0.0000135474,0.00002042727,0.00006461334,0.000001705699,0.002491101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009765243,"threshold_uncertainty_score":0.03266799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01467927046502326,"score_gpt":0.3217216167603202,"score_spread":0.307042346295297,"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."}}