{"id":"W2217807207","doi":"","title":"Visioning the Future of Information and Library Science: Challenges \\& Opportunities.","year":2013,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interdependence; Data science; Geopolitics; Natural (archaeology); Cultural heritage; Engineering ethics; Political science; Sociology; Public relations; Knowledge management; Computer science; Engineering; Social science; Geography; Politics","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":[0.02118317,0.0006350784,0.0009244605,0.004244841,0.01113159,0.05397962,0.002384122,0.01367647,0.01068399],"category_scores_gemma":[0.012827,0.0006534029,0.0009372869,0.007282221,0.01539203,0.04456884,0.01164231,0.01058754,0.005126508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01117321,"about_ca_system_score_gemma":0.04210466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01242039,"about_ca_topic_score_gemma":0.019465,"domain_scores_codex":[0.9868775,0.005931322,0.0006156107,0.0007865645,0.004255596,0.001533356],"domain_scores_gemma":[0.9800612,0.006836704,0.001452168,0.0009547552,0.004775272,0.005920026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006128327,0.0001687857,0.003160156,0.001788784,0.00004724598,0.0002357939,0.004502868,0.0008837825,0.001123092,0.5345861,0.2303584,0.2230837],"study_design_scores_gemma":[0.00001204554,0.00004996502,0.001241955,0.0009616024,0.00001787559,0.0003092534,0.01828339,0.001987442,0.0003082017,0.2896054,0.6871444,0.00007848953],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.005684037,0.1281467,0.01005117,0.7990009,0.003825623,0.00005934017,0.0001420436,0.0002615259,0.0528287],"genre_scores_gemma":[0.3319146,0.397759,0.09605315,0.107837,0.01282585,0.0002860786,0.0008043948,0.0002275321,0.05229241],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9460204,"threshold_uncertainty_score":0.1120287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06975893807263504,"score_gpt":0.3163814623263762,"score_spread":0.2466225242537411,"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."}}