{"id":"W2588500467","doi":"10.29173/cais104","title":"Information Beyond Borders: LIS interacting with other disciplines","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Engineering ethics; Sociology; Computer science; Data science; Engineering","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":[0.00573238,0.0003411766,0.0005030399,0.001930118,0.004724226,0.01529576,0.001397147,0.003078907,0.03841904],"category_scores_gemma":[0.01874063,0.0004799615,0.0004754245,0.003845131,0.006096224,0.02355715,0.01092799,0.00352961,0.005504775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003897862,"about_ca_system_score_gemma":0.005542311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031805,"about_ca_topic_score_gemma":0.01302173,"domain_scores_codex":[0.9971794,0.001537272,0.000124925,0.0002433095,0.0005580851,0.000357014],"domain_scores_gemma":[0.9893925,0.005608206,0.0004294627,0.001299456,0.001597249,0.001673153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002143273,0.00008597946,0.003195757,0.0002342319,0.00002547379,0.0004035739,0.01219636,0.001837711,0.000981215,0.6951418,0.09423915,0.1914445],"study_design_scores_gemma":[0.00002374722,0.00002669542,0.001110838,0.0003273062,0.00002885971,0.0001474625,0.007442758,0.003887982,0.0008015259,0.4310336,0.5551445,0.00002459886],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04652651,0.01365924,0.1298707,0.1550075,0.002233639,0.00008386301,0.0006718751,0.002282227,0.6496645],"genre_scores_gemma":[0.7997175,0.009920623,0.04851415,0.008393908,0.001018957,0.0001699694,0.0009836865,0.001267134,0.1300141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9847043,"threshold_uncertainty_score":0.1285245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232869148607768,"score_gpt":0.2639577265880119,"score_spread":0.2516290351019342,"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."}}