{"id":"W4243867383","doi":"10.18356/81de3cb1-en","title":"Acknowledgements","year":2019,"lang":"en","type":"book-chapter","venue":"Studies in methods. Series F","topic":"Human Rights and Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agency (philosophy); Empowerment; Political science; Agriculture; Descriptive statistics; Work (physics); Economic growth; Asset (computer security); Geography; Public administration; Sociology; Economics; Social science; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002159893,0.0003128632,0.000699334,0.0001707938,0.0004645102,0.00004370133,0.0003693446,0.0002587521,0.00924086],"category_scores_gemma":[0.0005556836,0.0002549519,0.0001134683,0.00005804283,0.0009985545,0.0001408335,0.0003732647,0.000317938,0.002509043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004495592,"about_ca_system_score_gemma":0.0003351902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001306316,"about_ca_topic_score_gemma":0.002788227,"domain_scores_codex":[0.9980914,0.0002402227,0.0004303106,0.0004452571,0.0003952299,0.0003975511],"domain_scores_gemma":[0.9988394,0.0003389143,0.0001785771,0.000305104,0.0002757208,0.00006229224],"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":[0.00002719177,0.00001742125,0.00005105843,0.0001769556,0.0004773376,0.0000340318,0.08444877,3.641423e-7,0.000001076599,0.6847161,0.1642437,0.06580596],"study_design_scores_gemma":[0.00009817015,0.00002487128,0.00001955243,0.0001930848,0.00002099411,1.793097e-7,0.004089864,7.569533e-8,0.000005414947,0.1899889,0.8052827,0.0002762091],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000008720506,0.006650019,0.00009347629,0.0002904971,0.006616828,0.0004777841,0.000004997422,0.00006010192,0.9857976],"genre_scores_gemma":[0.000002879344,0.01224712,0.05669317,0.0001488576,0.0006023214,0.00002212959,0.000004491631,0.00003408025,0.930245],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.641039,"threshold_uncertainty_score":0.9999903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1490492671270678,"score_gpt":0.4676127422291056,"score_spread":0.3185634751020379,"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."}}