{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297442,0.0005627225,0.0002619015,0.002306039,0.009496158,0.008909982,0.00152359,0.001142434,0.05276438],"category_scores_gemma":[0.004039299,0.0003317584,0.0002053105,0.004621128,0.00313034,0.002527336,0.004089068,0.001195095,0.008153387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04007948,"about_ca_system_score_gemma":0.1350047,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9425916,"about_ca_topic_score_gemma":0.9873248,"domain_scores_codex":[0.9978601,0.0002628204,0.00004807614,0.0001712378,0.001143105,0.0005146215],"domain_scores_gemma":[0.996216,0.0002921865,0.0001514653,0.0002866313,0.001196868,0.001856911],"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":[0.00003704077,0.0001267256,0.004001353,0.0004019597,0.000008468933,0.0002648084,0.01735507,0.0002570825,0.001017808,0.06289583,0.518441,0.3951929],"study_design_scores_gemma":[0.000004032804,0.000007310241,0.004230288,0.0001288756,0.00000388501,0.00006924317,0.005037726,0.00005011198,0.0003071169,0.001158358,0.9889914,0.00001174513],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01880825,0.008107994,0.002774891,0.01634296,0.0008016059,0.0002764617,0.003432666,0.001032717,0.9484225],"genre_scores_gemma":[0.2445771,0.01021132,0.01773013,0.003399093,0.0002363819,0.000152746,0.00213568,0.0005483293,0.7210094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05740839,"threshold_uncertainty_score":0.2907983,"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."}}