{"id":"W2603897302","doi":"10.11575/prism/26392","title":"'How Kola': The Wauneita Society at the University of Alberta, 1908-1930","year":2016,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006486198,0.0003617712,0.0002992992,0.001334858,0.02625612,0.005427811,0.001094945,0.001122542,0.005706429],"category_scores_gemma":[0.001024728,0.0003734295,0.0001391684,0.002311484,0.007855253,0.001637624,0.002473745,0.00245935,0.0006507976],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06911907,"about_ca_system_score_gemma":0.0562694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.974849,"about_ca_topic_score_gemma":0.994725,"domain_scores_codex":[0.9991204,0.00007853201,0.00001141394,0.00006840199,0.0002123772,0.0005088613],"domain_scores_gemma":[0.9994386,0.00005434132,0.00003508165,0.0000140347,0.0001273106,0.0003306668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007221622,0.00004248557,0.01374674,0.0001390208,0.000009924851,0.002651276,0.8390487,0.0001194053,0.001628811,0.0529853,0.02817431,0.06138172],"study_design_scores_gemma":[0.000002650235,0.00002659696,0.0433632,0.0002183722,0.000009658832,0.0005364923,0.4614031,0.00004566289,0.0004155017,0.001259176,0.4926745,0.00004505767],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7030764,0.01341664,0.0004390863,0.01393418,0.0006487512,0.00007552552,0.000386459,0.00007543066,0.2679475],"genre_scores_gemma":[0.8671051,0.004119116,0.0003594201,0.001091592,0.00003199101,0.00002209158,0.00009711411,0.0000394869,0.127134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06911907,"threshold_uncertainty_score":0.5014963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006301238602266315,"score_gpt":0.177955073918866,"score_spread":0.1716538353165997,"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."}}