{"id":"W2150964667","doi":"10.1177/0961000607077574","title":"Alternative careers for graduates of LIS schools","year":2007,"lang":"en","type":"article","venue":"Journal of Librarianship and Information Science","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Sociology; Medical education; Political science; Computer science; Medicine","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":[0.002668285,0.0001772043,0.0003060936,0.002348442,0.003791609,0.002709961,0.0005310985,0.001303585,0.01566151],"category_scores_gemma":[0.01106938,0.0002857927,0.0004714594,0.001519886,0.0009608984,0.001418818,0.002643617,0.001679166,0.002185612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001054613,"about_ca_system_score_gemma":0.00293398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004138973,"about_ca_topic_score_gemma":0.01716663,"domain_scores_codex":[0.9988004,0.0002809222,0.00006416324,0.00007507669,0.0002362624,0.0005432416],"domain_scores_gemma":[0.9877321,0.002022536,0.002398929,0.0002793564,0.001336621,0.006230387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002330165,0.000498752,0.9022982,0.0001319134,0.00001486812,0.0008745877,0.02400313,0.00008620222,0.0007233821,0.002273734,0.005877141,0.06298514],"study_design_scores_gemma":[0.00004316786,0.0007238656,0.8605285,0.0003281377,0.00002374213,0.002085043,0.0948568,0.000460498,0.0002880846,0.002598217,0.03800378,0.00006020486],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9894499,0.0005907291,0.0001563962,0.004025103,0.00006098788,0.00002530073,0.0002048946,0.0000123415,0.005474333],"genre_scores_gemma":[0.9886524,0.0008249906,0.0005866571,0.0008915929,0.00005783225,0.00002868736,0.0002368923,0.000009769378,0.008711112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01566151,"threshold_uncertainty_score":0.05239296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03313786220012972,"score_gpt":0.320630469108391,"score_spread":0.2874926069082613,"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."}}