{"id":"W4412954156","doi":"10.1353/ari.2025.a966965","title":"Locating Illicit Empathy: The Extractive Ecology of Marian Engel's Bear","year":2025,"lang":"en","type":"article","venue":"Ariel","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Empathy; Ecology; Geography; Psychology; Biology; Social psychology","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":[0.001322199,0.0004045326,0.0002950547,0.0008268,0.02162996,0.005900613,0.001110414,0.001815896,0.003951205],"category_scores_gemma":[0.00241967,0.0002060135,0.0001914178,0.0004223941,0.03150254,0.0025428,0.006658093,0.003096429,0.0005343345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008866451,"about_ca_system_score_gemma":0.004849796,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09235726,"about_ca_topic_score_gemma":0.2601233,"domain_scores_codex":[0.9983912,0.0006128962,0.00001677359,0.0002156852,0.0003538834,0.000409591],"domain_scores_gemma":[0.9993723,0.0001988935,0.0001032822,0.00005871779,0.0001089268,0.0001579218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004438496,0.00002877364,0.001406274,0.00007119072,0.00001139348,0.002104579,0.7518351,0.00009761773,0.001738255,0.215708,0.01587388,0.01108046],"study_design_scores_gemma":[0.000006460301,0.00002926525,0.002437781,0.0002387832,0.00001578182,0.001570383,0.4712085,0.0001662865,0.001186921,0.01805334,0.5050492,0.00003733621],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3869791,0.003571157,0.004678037,0.03138545,0.0007988694,0.00005470286,0.00005310535,0.0001026103,0.572377],"genre_scores_gemma":[0.9620436,0.0007401763,0.0007990817,0.002117948,0.0000714066,0.00001585424,0.000009771874,0.00005844668,0.03414367],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09235726,"threshold_uncertainty_score":0.1836393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574617703561487,"score_gpt":0.260521852598784,"score_spread":0.2447756755631691,"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."}}