{"id":"W2801807659","doi":"10.1017/amp.2017.161","title":"Friday Keynote: Seen and not Heard","year":2017,"lang":"en","type":"article","venue":"Proceedings of the ASIL Annual Meeting","topic":"Human Rights and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human rights; Population; Law enforcement; Jurisprudence; Enforcement; Law; Criminology; Gender studies; Political science; Sociology; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001068449,0.00008084835,0.0001353311,0.00002388823,0.002148055,0.0002485769,0.0005398492,0.00005699329,0.00001290063],"category_scores_gemma":[0.0008435978,0.00005188208,0.00004148594,0.00003912533,0.0003821095,0.0003634414,0.0003099595,0.0001022776,0.000005129522],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000250157,"about_ca_system_score_gemma":0.0000496865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000905592,"about_ca_topic_score_gemma":0.0001146763,"domain_scores_codex":[0.9990709,0.000008747901,0.0001599279,0.0001675786,0.0003556962,0.0002371705],"domain_scores_gemma":[0.999317,0.0000387147,0.0002580408,0.00008241362,0.0002278942,0.00007586277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001103801,0.00008667209,0.36004,0.0002659338,0.0001040522,0.000002264059,0.3119095,0.00000110529,0.008029651,0.2422212,0.01994774,0.05728151],"study_design_scores_gemma":[0.000804311,0.00008928004,0.6733453,0.0007991555,0.00005751785,0.000004700709,0.052902,0.00002381819,0.03204558,0.03698781,0.2022916,0.0006489895],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8528371,0.000028519,3.979835e-7,0.006376906,0.0001545236,0.00011342,0.000002936493,0.00002409601,0.140462],"genre_scores_gemma":[0.9941545,0.00002610391,0.0007391325,0.0001112768,0.0002352986,0.000003939264,4.606076e-8,0.0000071233,0.004722567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3133052,"threshold_uncertainty_score":0.999151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02428473704964156,"score_gpt":0.2921709793416507,"score_spread":0.2678862422920091,"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."}}