{"id":"W1492547401","doi":"10.18438/b82g7v","title":"Analyzing the MISO Data: Broader Perspectives on Library and Computing Trends","year":2013,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scale (ratio); Point (geometry); Medical education; Survey data collection; Library science; Computer science; Psychology; World Wide Web; Medicine; Mathematics; Geography; Statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01422081,0.0004695242,0.0006891849,0.0190996,0.001258869,0.007744646,0.0009343001,0.001260296,0.003597976],"category_scores_gemma":[0.064076,0.0003707112,0.0006842267,0.04198943,0.001369824,0.01065038,0.003028222,0.001638774,0.0009104572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003406939,"about_ca_system_score_gemma":0.003064161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02176723,"about_ca_topic_score_gemma":0.02766388,"domain_scores_codex":[0.9885966,0.003158932,0.001399159,0.001256091,0.004605962,0.0009832702],"domain_scores_gemma":[0.9106819,0.04378162,0.0212063,0.004151423,0.01797395,0.002204766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001059809,0.000100981,0.9013273,0.0005929485,0.00009013572,0.0002046829,0.007396522,0.0007043885,0.0008649378,0.007792281,0.01479738,0.06602246],"study_design_scores_gemma":[0.00000788515,0.00008859483,0.8629152,0.0007380826,0.00003829078,0.0002293559,0.02920472,0.002402215,0.001094998,0.003827034,0.09939384,0.00005981303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8548861,0.01251741,0.01020061,0.04875062,0.0006400641,0.0001620751,0.0264966,0.0003413658,0.04600516],"genre_scores_gemma":[0.9532886,0.008108495,0.009684041,0.004429592,0.001399425,0.000154553,0.01977323,0.000227165,0.002934833],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9922553,"threshold_uncertainty_score":0.07520771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02512822736145362,"score_gpt":0.3033131668728974,"score_spread":0.2781849395114439,"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."}}