{"id":"W1503097697","doi":"","title":"Blood Relations: Animals, Humans, and Politics","year":2002,"lang":"en","type":"article","venue":"Canadian women's studies","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Politics; Political science; Biology; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001665059,0.0002161946,0.0002994747,0.002521374,0.01047741,0.006764405,0.0007365583,0.001590629,0.01237079],"category_scores_gemma":[0.003889953,0.0002092142,0.0001512387,0.007292207,0.02312508,0.001734501,0.001540528,0.001430791,0.0003193409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02664405,"about_ca_system_score_gemma":0.02487316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.938651,"about_ca_topic_score_gemma":0.9713641,"domain_scores_codex":[0.9986643,0.000551436,0.000015819,0.0001016735,0.0002530009,0.0004138029],"domain_scores_gemma":[0.9980472,0.0008184973,0.0002719823,0.00008486924,0.0002742456,0.0005031965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001731584,0.00007713756,0.09781316,0.0001969243,0.00006339107,0.0005185935,0.1708497,0.0003394344,0.0007914181,0.6143173,0.0331171,0.08174276],"study_design_scores_gemma":[0.00002547746,0.00004130678,0.262005,0.0004819593,0.00006199428,0.000195291,0.2647324,0.0001744716,0.0003060288,0.05507567,0.416836,0.00006444492],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4363252,0.05667279,0.001963748,0.1139557,0.0004963896,0.00003722823,0.0008397656,0.00004568219,0.3896636],"genre_scores_gemma":[0.9739745,0.01067281,0.0002408333,0.002256153,0.0001083711,0.00001135847,0.00006447174,0.00001378303,0.01265763],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.938651,"threshold_uncertainty_score":0.193317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03902050901907481,"score_gpt":0.2973969227875568,"score_spread":0.2583764137684819,"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."}}