{"id":"W2156561101","doi":"10.1002/meet.2009.1450460391","title":"Digital media internships: LIS Education 2.0","year":2009,"lang":"en","type":"article","venue":"Proceedings of the American Society for Information Science and Technology","topic":"Web and Library Services","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Internship; Digital media; Library science; Medical education; Engineering; Mathematics education; Multimedia; Computer science; World Wide Web; Psychology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003789434,0.000419345,0.0001883629,0.000841535,0.002379338,0.003057354,0.001133279,0.0008616282,0.1531445],"category_scores_gemma":[0.001833691,0.0002953579,0.0003013854,0.0005600668,0.0005686195,0.001195874,0.005069543,0.002011886,0.03476406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001745268,"about_ca_system_score_gemma":0.005997868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001719687,"about_ca_topic_score_gemma":0.008263689,"domain_scores_codex":[0.9989581,0.0001865038,0.00002659079,0.0000935637,0.0002169819,0.0005182429],"domain_scores_gemma":[0.982749,0.0003044189,0.0002156011,0.0002501628,0.0005043177,0.01597647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001033861,0.007022015,0.01972095,0.0002015456,0.0000120187,0.000699254,0.003056333,0.0003771527,0.004127624,0.005925317,0.620185,0.337639],"study_design_scores_gemma":[0.0002508599,0.001455948,0.03750655,0.0001049548,0.000008623058,0.0003644439,0.004291869,0.0009256955,0.002976316,0.000894295,0.9511859,0.00003463787],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4075865,0.0008763321,0.007543148,0.03607312,0.006862746,0.001268944,0.005272042,0.01338053,0.5211366],"genre_scores_gemma":[0.3808764,0.0003915238,0.007879844,0.003274933,0.00117094,0.0004876674,0.003005206,0.0009246106,0.6019889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1531445,"threshold_uncertainty_score":0.5123195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007006750889089529,"score_gpt":0.2329261798868507,"score_spread":0.2259194289977611,"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."}}