{"id":"W2804947448","doi":"10.1177/0309132518775837","title":"Animal geographies III: Species relations of power","year":2018,"lang":"en","type":"article","venue":"Progress in Human Geography","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Power (physics); Geography; Ecology; Sociology; Biology; Physics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0006652444,0.0002412946,0.0003386545,0.002322415,0.001354516,0.0001817353,0.0006826802,0.000179776,0.003426966],"category_scores_gemma":[0.00007669686,0.0002597893,0.0003794401,0.002579131,0.007322154,0.0006636942,0.0001497548,0.000334233,0.00004001797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002857693,"about_ca_system_score_gemma":0.00003911118,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001438761,"about_ca_topic_score_gemma":0.02187271,"domain_scores_codex":[0.9974027,0.0001894049,0.0006369458,0.0004504319,0.0006439149,0.0006765976],"domain_scores_gemma":[0.9984382,0.0001360501,0.0003202039,0.0004307403,0.000535002,0.0001398199],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004610871,0.0003138722,0.8692269,0.000008380583,0.00007488399,0.000003984888,0.0110931,4.613412e-7,0.00008797816,0.1174055,0.001568211,0.0001706235],"study_design_scores_gemma":[0.0003867364,0.0004991266,0.9470771,0.00008669742,0.00003789664,0.000001064579,0.01548978,0.000002182966,0.0001699748,0.008498741,0.02743378,0.000316933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8778217,0.001366266,0.000002359862,0.0005875835,0.0003701569,0.0004375186,0.0000161644,0.0001896479,0.1192086],"genre_scores_gemma":[0.9982616,0.00009573062,0.0007515273,0.00003712161,0.00025664,0.00009359894,0.00001067722,0.00002482699,0.0004682495],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1204399,"threshold_uncertainty_score":0.9999855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02417178379583467,"score_gpt":0.3326755494778173,"score_spread":0.3085037656819826,"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."}}