{"id":"W7058226230","doi":"","title":"Métis representations in English and French-Canadian literature","year":2001,"lang":"en","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Representation (politics); Narrative; Feature (linguistics); Subject (documents)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007516343,0.001029303,0.0006297778,0.0121381,0.01167207,0.0132556,0.001237226,0.001089619,0.1917853],"category_scores_gemma":[0.003495924,0.0002654043,0.0003664079,0.03194974,0.00334806,0.003148612,0.00189332,0.001382796,0.02291223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05733722,"about_ca_system_score_gemma":0.05459101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9553408,"about_ca_topic_score_gemma":0.9621016,"domain_scores_codex":[0.9988262,0.00009414259,0.00006399732,0.000126292,0.0005556752,0.0003337511],"domain_scores_gemma":[0.9978459,0.0002365511,0.00009887236,0.00007897585,0.001536245,0.0002034832],"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":[0.00003220704,0.00001156473,0.0006532969,0.0004543418,0.000008643675,0.0002247212,0.005038219,0.0001385409,0.0002245203,0.1712837,0.7790156,0.04291463],"study_design_scores_gemma":[0.000001557391,6.75421e-7,0.0008475125,0.0001905695,0.000004072339,0.00003574352,0.002222987,0.00002548406,0.00005480091,0.001705557,0.9949052,0.000005791793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003555146,0.02752946,0.0004790137,0.01386764,0.002901693,0.0000296653,0.0109507,0.0002401413,0.9404465],"genre_scores_gemma":[0.06348768,0.04011074,0.001090772,0.001637439,0.0006525763,0.00005142823,0.006008373,0.0003828207,0.886578],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1917853,"threshold_uncertainty_score":0.6415858,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002317818481170736,"score_gpt":0.1563299700573194,"score_spread":0.1540121515761487,"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."}}