{"id":"W2083198307","doi":"10.1177/0263276411427409","title":"Investing in Life, Investing in Difference: Nations, Populations and Genomes","year":2012,"lang":"en","type":"article","venue":"Theory Culture & Society","topic":"Race, Genetics, and Society","field":"Biochemistry, Genetics and Molecular Biology","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Variation (astronomy); Sociology; Meaning (existential); Population; Vitality; Nexus (standard); Social science; Relevance (law); Politics; Epistemology; Environmental ethics; Biology; Political science; Law; Demography; Genetics","routes":{"ca_aff":false,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003135575,0.0002467409,0.0003552543,0.001117829,0.005861136,0.007570256,0.0006804149,0.001837813,0.002636316],"category_scores_gemma":[0.002852007,0.0001406435,0.0001359578,0.00196107,0.05073898,0.007092831,0.003999195,0.002034953,0.000153482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009230557,"about_ca_system_score_gemma":0.007976139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1129187,"about_ca_topic_score_gemma":0.1551742,"domain_scores_codex":[0.9978034,0.001523066,0.00002995657,0.0001490885,0.0002224905,0.0002720868],"domain_scores_gemma":[0.998328,0.0009875739,0.0001195923,0.0001372194,0.0001433901,0.0002841298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000004707956,0.000004284108,0.001006951,0.0000162898,0.00000282641,0.0000602624,0.01170269,0.0001394963,0.0000405473,0.9777163,0.001615701,0.007690003],"study_design_scores_gemma":[0.000005068282,0.00001347027,0.004821726,0.0002192333,0.000006965852,0.0001420131,0.02947816,0.0002928796,0.0001125426,0.8057595,0.1591251,0.00002345893],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1744705,0.06866054,0.02142672,0.2792249,0.0009466426,0.00003251557,0.0001593357,0.00007111976,0.4550077],"genre_scores_gemma":[0.9677096,0.01325852,0.004259847,0.00616591,0.0001544226,0.00002948089,0.00002833025,0.00002457674,0.008369258],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9941388,"threshold_uncertainty_score":0.2245229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02299857761996584,"score_gpt":0.2719573531863793,"score_spread":0.2489587755664134,"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."}}