{"id":"W2001552340","doi":"10.7202/800543ar","title":"Introduction. Between Society and University: Humanities and Social Sciences in Canada","year":2007,"lang":"en","type":"article","venue":"Scientia Canadensis Canadian Journal of the History of Science Technology and Medicine","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; Concordia University","funders":"","keywords":"Digital humanities; Sociology; Humanities; Library science; Media studies; Social science; Political science; Art; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.002896375,0.0000629669,0.0001981712,0.003146315,0.002815931,0.00002328847,0.0004622985,0.00006836729,0.00004937546],"category_scores_gemma":[0.0002576416,0.00006174657,0.00002010834,0.00190154,0.05334777,0.0002613181,0.00004836926,0.0002471039,5.969992e-8],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005825955,"about_ca_system_score_gemma":0.03453477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9939532,"about_ca_topic_score_gemma":0.9999255,"domain_scores_codex":[0.9987618,0.00003738069,0.0002159536,0.0001803207,0.0004322103,0.0003723159],"domain_scores_gemma":[0.9992738,0.00004231428,0.0002162832,0.00007592278,0.0001978181,0.0001938107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001352479,0.000008422673,0.1693495,0.00006939836,0.00004827481,0.0001281812,0.1101166,0.000003773904,0.001268564,0.1801065,0.5142215,0.02466581],"study_design_scores_gemma":[0.0001724204,0.00002979193,0.04021759,0.00003547594,0.00003091039,0.00003378059,0.06627344,0.00000116566,0.000009540048,0.0005546884,0.8925695,0.00007173219],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9259242,0.004389822,0.000004011258,0.06352496,0.002348245,0.00007597555,0.000006854557,0.000003436867,0.003722501],"genre_scores_gemma":[0.9961122,0.0001039044,0.00005837138,0.0004049486,0.0001399901,5.733119e-8,7.889559e-8,0.000002133272,0.003178366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.378348,"threshold_uncertainty_score":0.9984823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688791855268968,"score_gpt":0.2054329007534236,"score_spread":0.1885449822007339,"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."}}