{"id":"W6959793285","doi":"10.11575/prism/30056","title":"Paying for Outcomes","year":2013,"lang":"en","type":"other","venue":"Open MIND","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychological intervention; Payment; Population; Health care; Order (exchange); Social Welfare; Upstream (networking); Principal (computer security)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02971928,0.0005881147,0.0005797604,0.002498944,0.002028791,0.005027274,0.002219761,0.002886043,0.06972663],"category_scores_gemma":[0.1009897,0.0003512298,0.001402987,0.001610646,0.001677552,0.00401252,0.006489385,0.003618022,0.009487895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00477736,"about_ca_system_score_gemma":0.01458988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005251682,"about_ca_topic_score_gemma":0.006216786,"domain_scores_codex":[0.9683493,0.01290059,0.002176328,0.002193306,0.009852771,0.004527671],"domain_scores_gemma":[0.9455923,0.01726072,0.00745496,0.009089835,0.009775167,0.01082709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004196576,0.0009394652,0.04802336,0.0003373678,0.0001517686,0.0002147559,0.001152625,0.001023748,0.0003266021,0.3073595,0.1295455,0.5105057],"study_design_scores_gemma":[0.0005401203,0.001456478,0.09207452,0.001213288,0.0002138995,0.001492649,0.001807012,0.003501968,0.001136687,0.1733317,0.7230702,0.0001614155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06368127,0.002093424,0.04464242,0.09791645,0.003742923,0.002629558,0.005228049,0.001041984,0.7790239],"genre_scores_gemma":[0.6530825,0.00250665,0.02921988,0.02472013,0.003746562,0.003803437,0.005583074,0.0006076,0.2767303],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06972663,"threshold_uncertainty_score":0.2332588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03532163463831499,"score_gpt":0.3062710212611275,"score_spread":0.2709493866228125,"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."}}