{"id":"W2333400203","doi":"10.1177/0263276410380942","title":"Climate, Race Science and the Age of Consent in the League of Nations","year":2011,"lang":"en","type":"article","venue":"Theory Culture & Society","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Kulttuurin ja Yhteiskunnan Tutkimuksen Toimikunta","keywords":"League; Race (biology); Argument (complex analysis); Sociology; Mores; Climate science; Politics; Political science; Environmental ethics; Law; Social science; Political economy; Climate change; Gender studies; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.02362913,0.0002991018,0.0003789757,0.001618147,0.01168425,0.008482102,0.001035676,0.004658544,0.004080623],"category_scores_gemma":[0.0336855,0.0002273553,0.0003725494,0.001288506,0.06881946,0.0155728,0.007656322,0.007492873,0.0003104222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006629264,"about_ca_system_score_gemma":0.004870005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005441994,"about_ca_topic_score_gemma":0.005154777,"domain_scores_codex":[0.9834216,0.01188811,0.000450173,0.001377237,0.001453171,0.001409665],"domain_scores_gemma":[0.979377,0.01417497,0.001981869,0.001733128,0.001499899,0.00123312],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005318348,0.000004140275,0.0003642723,0.000005852326,8.615731e-7,0.00002208299,0.009562771,0.00004173609,0.00002636262,0.9873175,0.000370988,0.002278066],"study_design_scores_gemma":[0.00001097153,0.00003271906,0.001287488,0.0001312324,0.000002935482,0.000094012,0.01449727,0.0002380677,0.0002519645,0.9145423,0.06888485,0.000026197],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.227578,0.01138839,0.03216401,0.1434004,0.001236842,0.00008783224,0.00007126668,0.00005578507,0.5840175],"genre_scores_gemma":[0.9894421,0.0007340832,0.001278434,0.003399811,0.0001725273,0.00004075629,0.00001018838,0.00001231561,0.004909694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9883158,"threshold_uncertainty_score":0.1249643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01564203975394213,"score_gpt":0.2590266969267132,"score_spread":0.243384657172771,"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."}}