{"id":"W2620660448","doi":"10.26443/fo.v12i.192","title":"Western Canadiana at McGill University: The Lande and Arkin Collections","year":2010,"lang":"en","type":"article","venue":"Fontanus","topic":"Historical and Literary Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Library science; Art; Art history; Political science; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0000712471,0.00003026664,0.00004163192,0.0000194593,0.001982535,0.000007533586,0.00006134186,0.0000276717,0.0001120855],"category_scores_gemma":[0.00001954089,0.0000227822,0.00001448087,0.0001578205,0.0001014217,0.0000464587,0.00002399722,0.00006948022,0.00001705207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014541,"about_ca_system_score_gemma":0.00002626435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09239128,"about_ca_topic_score_gemma":0.8791013,"domain_scores_codex":[0.999693,0.00003176933,0.00002645986,0.00006250947,0.00006249022,0.0001238123],"domain_scores_gemma":[0.999772,0.00006493592,0.00001131601,0.00004814312,0.00001375214,0.00008984933],"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":[0.00006825844,0.0001064148,0.2523017,0.0000113967,0.0001504799,0.0001665513,0.2314284,7.248308e-7,0.0002775355,0.09570462,0.3961213,0.02366264],"study_design_scores_gemma":[0.00004917951,0.000007202676,0.01017667,6.772347e-7,0.000007462565,0.00000188114,0.0007203292,4.819477e-7,0.000001578762,0.00006085237,0.9889385,0.00003515227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5852773,0.000176115,0.000002281247,0.006107208,0.0008132319,0.0001115712,0.00009647247,0.00003775597,0.407378],"genre_scores_gemma":[0.7255401,0.00002387856,0.0000179366,0.0001821522,0.000100324,7.7678e-7,5.524572e-7,0.000001557162,0.2741328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.78671,"threshold_uncertainty_score":0.9993168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093551676085798,"score_gpt":0.2109386812204753,"score_spread":0.2000031644596173,"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."}}