{"id":"W2946430534","doi":"10.25071/1913-9632.39369","title":"Towards an Empathic Human Rights","year":2019,"lang":"en","type":"article","venue":"Left History An Interdisciplinary Journal of Historical Inquiry and Debate","topic":"Historical and Contemporary Political Dynamics","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Human rights; Intellectual property; State (computer science); Empathy; Constitution; Law and economics; Power (physics); Law; Political science; International human rights law; Sociology; Moral rights; Psychology; Social psychology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004934728,0.0003525939,0.0007254767,0.0003281643,0.0008745071,0.00007426817,0.0005258538,0.000166333,0.003132045],"category_scores_gemma":[0.0000142553,0.000276021,0.0002917576,0.00003360438,0.0005038151,0.00175244,0.0001875562,0.0007626027,0.0001062293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002016256,"about_ca_system_score_gemma":0.0001001234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002105479,"about_ca_topic_score_gemma":0.0002459945,"domain_scores_codex":[0.9974444,0.0002839533,0.001020011,0.0004132622,0.0004379882,0.0004003714],"domain_scores_gemma":[0.9981202,0.00007629942,0.0004372351,0.0004022447,0.0002750818,0.0006888729],"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":[0.0009643111,0.001937159,0.0003231211,0.0002041612,0.0001491526,0.0008395045,0.2622612,0.00001731701,0.0009746961,0.6829079,0.04727817,0.002143256],"study_design_scores_gemma":[0.0006351448,0.005084431,0.0001739917,0.0001039534,0.00008850243,0.0002984223,0.001852969,0.00027344,0.00001040138,0.04843718,0.9424898,0.0005517876],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8955677,0.001892885,0.0003038836,0.0004561379,0.01209017,0.000162665,0.00001406223,0.0001002355,0.0894123],"genre_scores_gemma":[0.9670696,0.000005910839,0.0001025541,0.0003295947,0.002314843,0.000002316147,0.00001695445,0.00003723785,0.03012101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8952116,"threshold_uncertainty_score":0.9999692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05665069954859688,"score_gpt":0.2941662773669788,"score_spread":0.2375155778183819,"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."}}