{"id":"W2051214338","doi":"10.7202/800289ar","title":"Information Science: The Canadian Context","year":2009,"lang":"en","type":"article","venue":"Scientia Canadensis Canadian Journal of the History of Science Technology and Medicine","topic":"scientometrics and bibliometrics research","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Variety (cybernetics); Discipline; Identification (biology); Field (mathematics); Context (archaeology); Identity (music); Engineering ethics; Information science; Sociology; Graduate education; Library science; Data science; Political science; Social science; Pedagogy; Computer science; Engineering; Geography; Biology; Ecology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics","sts"],"consensus_categories":[],"category_scores_codex":[0.00589543,0.0005727707,0.0009641851,0.009661809,0.02295875,0.02356803,0.002229319,0.003497691,0.01449568],"category_scores_gemma":[0.01517146,0.0004762432,0.0004272565,0.02930665,0.02342345,0.005896785,0.005742662,0.00510204,0.00113813],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2733655,"about_ca_system_score_gemma":0.4251469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9949227,"about_ca_topic_score_gemma":0.9952798,"domain_scores_codex":[0.9892544,0.001594064,0.0004497937,0.001016709,0.005107399,0.002577773],"domain_scores_gemma":[0.979632,0.003570312,0.0009455275,0.0004752247,0.0102328,0.005144128],"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":[0.00002178713,0.00002690455,0.002624863,0.0006320532,0.00002258833,0.0004568112,0.006857124,0.0006039577,0.0001983689,0.8518475,0.09786589,0.03884224],"study_design_scores_gemma":[0.000008801732,0.0000102257,0.009707489,0.00108577,0.00002520559,0.0001425042,0.009029609,0.0003276232,0.00009624108,0.04412363,0.9353734,0.00006949148],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01501663,0.09823724,0.001962269,0.3012347,0.002244716,0.0000847054,0.002084733,0.0001142245,0.5790208],"genre_scores_gemma":[0.6528826,0.2236198,0.00589091,0.03769629,0.001612365,0.00009705163,0.001006189,0.0001647541,0.07702997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9903382,"threshold_uncertainty_score":0.842793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1596946699514845,"score_gpt":0.4137607682439299,"score_spread":0.2540660982924454,"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."}}