{"id":"W4297953850","doi":"10.29173/istl1929","title":"Using a WebCT to Develop a Research Skills Module","year":2003,"lang":"en","type":"article","venue":"Issues in Science and Technology Librarianship","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Presentation (obstetrics); Tracking (education); Computer science; Medical education; Library instruction; Multimedia; World Wide Web; Library science; Mathematics education; Psychology; Information literacy; Pedagogy; 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":[0.002079669,0.0007831869,0.0004371429,0.001934246,0.0003675186,0.001023092,0.001232324,0.0007082762,0.04009144],"category_scores_gemma":[0.008014939,0.0004422724,0.0007293764,0.0008427989,0.0003060373,0.0009421679,0.001404545,0.001287387,0.02593317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006380074,"about_ca_system_score_gemma":0.001569429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008043162,"about_ca_topic_score_gemma":0.001667863,"domain_scores_codex":[0.9993406,0.000186054,0.00006780951,0.0001230889,0.0001996733,0.00008278654],"domain_scores_gemma":[0.993449,0.002569376,0.0002753129,0.0007356241,0.001824797,0.00114588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006465542,0.003079554,0.00478057,0.000551767,0.0000165503,0.0009495487,0.001056613,0.001961357,0.04313278,0.001333051,0.0972279,0.8452638],"study_design_scores_gemma":[0.0005754184,0.005175603,0.04270277,0.0006463673,0.000102261,0.002761521,0.0004917199,0.01893693,0.1241576,0.003750458,0.800478,0.000221351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1676801,0.0006912231,0.5779031,0.00231826,0.002966288,0.02251962,0.009763598,0.06124619,0.1549117],"genre_scores_gemma":[0.1068679,0.0004872406,0.7126079,0.001526904,0.0004379028,0.010115,0.006987394,0.005533581,0.1554362],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04009144,"threshold_uncertainty_score":0.1341192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08648229501018194,"score_gpt":0.388884673825161,"score_spread":0.3024023788149791,"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."}}