{"id":"W1504410511","doi":"","title":"Information Nation: Education and Careers in the Emerging Information Professions","year":2010,"lang":"en","type":"book","venue":"","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Workforce; Library science; Information technology; Political science; Sociology; Public relations; Management; Computer science; Law","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":[0.003401911,0.0001332946,0.0002215862,0.001120813,0.009865723,0.01008832,0.0006269908,0.002095146,0.008646176],"category_scores_gemma":[0.008237512,0.0001646759,0.0002327297,0.001822899,0.004550294,0.01043073,0.005160213,0.003100382,0.001623363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002724825,"about_ca_system_score_gemma":0.009575959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008581777,"about_ca_topic_score_gemma":0.02054176,"domain_scores_codex":[0.9970587,0.001480484,0.00009206434,0.000125361,0.0004241415,0.0008192039],"domain_scores_gemma":[0.9927947,0.002636517,0.0005272931,0.0001593529,0.0007141716,0.003168025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006543114,0.0003337302,0.03013652,0.0002566943,0.000005805423,0.0009310929,0.3528824,0.000176149,0.0001798092,0.2896681,0.148679,0.1766852],"study_design_scores_gemma":[0.000005786028,0.00006616999,0.02684134,0.001241062,0.000003551415,0.0007141875,0.4084983,0.0002328622,0.00008792372,0.02486719,0.5374137,0.00002806922],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2255046,0.03223962,0.001462193,0.2249401,0.003297074,0.00003615666,0.0001091093,0.00005872864,0.5123523],"genre_scores_gemma":[0.8206515,0.02645564,0.001189028,0.01451903,0.000760694,0.00006932585,0.0001774613,0.00005502399,0.1361222],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01008832,"threshold_uncertainty_score":0.02892441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0119561021439095,"score_gpt":0.2913574824761455,"score_spread":0.2794013803322359,"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."}}