{"id":"W6996285499","doi":"","title":"(Re)mapping Métis Relationships in Cherie Dimaline’s <i>Empire of Wild</i>","year":2023,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Plant Molecular Biology Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Identification (biology); Relation (database); Perspective (graphical); Feature (linguistics)","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":[0.000536931,0.0001256985,0.0001897558,0.001674146,0.002383501,0.0008570412,0.0006532848,0.0004025276,0.006390743],"category_scores_gemma":[0.001656302,0.0001345175,0.0001156733,0.002753146,0.0007426211,0.0005792966,0.001177593,0.0007435045,0.00132302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001052832,"about_ca_system_score_gemma":0.001480632,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1147621,"about_ca_topic_score_gemma":0.4929446,"domain_scores_codex":[0.9997393,0.00004780278,0.00001294543,0.00006613256,0.00006663599,0.00006713807],"domain_scores_gemma":[0.9991363,0.0001270991,0.0001539031,0.0001201648,0.0003502484,0.0001123198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003316017,0.00008117766,0.4577991,0.0003204655,0.0001031792,0.002339361,0.04945198,0.001057393,0.03688908,0.02430758,0.132947,0.2943721],"study_design_scores_gemma":[0.00001744419,0.00003417828,0.4729515,0.0001611506,0.00002941918,0.0008062178,0.02120359,0.0008288516,0.002521834,0.002227516,0.4991918,0.00002662952],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8359936,0.001882266,0.007996963,0.006462464,0.0004677838,0.0001532414,0.00930423,0.0003066298,0.1374327],"genre_scores_gemma":[0.9546925,0.0003770897,0.01482561,0.001020617,0.00007098616,0.0001489579,0.004809038,0.0002133304,0.02384175],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8852379,"threshold_uncertainty_score":0.2281883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05907827389077698,"score_gpt":0.2431464901116819,"score_spread":0.184068216220905,"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."}}