{"id":"W2601901015","doi":"10.29173/cais954","title":"Portraying the Landscape of Canadian Library and Information Science Research","year":2016,"lang":"fr","type":"article","venue":"Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI","topic":"Library Science and Administration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Portrait; Library science; Information science; Information scientist; Political science; Sociology; Humanities; Art; Art history; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.002637322,0.0001417406,0.0002249383,0.0006238224,0.0007280956,0.002901778,0.002135225,0.0001402553,0.000104949],"category_scores_gemma":[0.01033728,0.00008130583,0.00006731613,0.003198607,0.006309987,0.1103565,0.0004296052,0.0002211397,0.000003851485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003514362,"about_ca_system_score_gemma":0.003691832,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008798731,"about_ca_topic_score_gemma":0.0007048834,"domain_scores_codex":[0.9976668,0.0000637577,0.0004731044,0.0002236181,0.0009697781,0.000602954],"domain_scores_gemma":[0.9851863,0.0003285743,0.0005749617,0.0001635231,0.01344096,0.0003057109],"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":[0.00003710372,0.00003102116,0.2493131,0.0001619904,0.00001542485,3.917102e-7,0.08357014,4.113723e-7,0.006700912,0.6304871,0.003642657,0.02603973],"study_design_scores_gemma":[0.0003737573,0.0005307427,0.3935084,0.001062384,0.00003856543,0.00001822867,0.05142711,0.0001278048,0.05124808,0.01912086,0.4822429,0.0003011556],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8366234,0.0002293989,0.000001023674,0.0707885,0.00022941,0.0002813586,0.0001360924,0.000009332945,0.09170146],"genre_scores_gemma":[0.9958953,0.001631523,0.0001090208,0.0002674535,0.0001138551,0.000007181733,0.000001162686,0.000006065366,0.001968481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6113663,"threshold_uncertainty_score":0.9981333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04602902261500272,"score_gpt":0.2874940298940297,"score_spread":0.241465007279027,"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."}}