{"id":"W2468108412","doi":"10.29173/css204","title":"Library and Archives of Canada Collections As Resources for Classroom Learning.","year":2006,"lang":"en","type":"article","venue":"Canadian Social Studies","topic":"Digital and Traditional Archives Management","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Social studies; Educational resources; Mathematics education; Sociology; Library science; Pedagogy; Computer science; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":true,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000008030125,0.00006351493,0.0001086986,0.00007504724,0.001437748,0.00006877039,0.00004061881,0.000004737902,0.00003298793],"category_scores_gemma":[0.000008320378,0.0000599784,0.000034157,0.00003021309,0.0003313599,0.00008465099,0.00001833672,0.00003296399,2.970077e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001352993,"about_ca_system_score_gemma":0.000143075,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4491916,"about_ca_topic_score_gemma":0.956987,"domain_scores_codex":[0.9996098,0.00001072522,0.00009404303,0.0000851505,0.0000496321,0.0001506277],"domain_scores_gemma":[0.9997619,0.0001277159,0.00003412911,0.00001794021,0.000008831004,0.00004947115],"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":[0.000008996413,0.000007863956,0.0002502389,0.00003980557,0.00009748532,0.000002568997,0.006682639,0.000003010335,4.846351e-7,0.8655363,0.1252746,0.002095989],"study_design_scores_gemma":[0.00008693108,0.00003676056,0.005611659,0.000009379883,0.00001384579,2.178492e-7,0.01239365,0.000003661825,0.000002883921,0.1073567,0.8744177,0.00006655998],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0391282,0.0003473959,7.916277e-7,0.003636839,0.00009956482,0.0001132724,0.0002981749,0.00001440591,0.9563614],"genre_scores_gemma":[0.7919087,0.00002786587,0.00001452545,0.0002421354,0.0003758511,0.00002800392,0.00002364634,0.000007254527,0.207372],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7581796,"threshold_uncertainty_score":0.9998623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01670684714892435,"score_gpt":0.1837732179058986,"score_spread":0.1670663707569742,"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."}}