{"id":"W6983637097","doi":"","title":"More Than Money April 27 2019","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Public health; Joins; Population health; Attendance","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005336575,0.000482832,0.0003230119,0.0008792451,0.001706594,0.003495965,0.000448418,0.001372332,0.6598029],"category_scores_gemma":[0.003956794,0.0001898515,0.0002794581,0.0007693964,0.0003489708,0.00162893,0.001723084,0.001911707,0.4352837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001295239,"about_ca_system_score_gemma":0.00148883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01167701,"about_ca_topic_score_gemma":0.03504312,"domain_scores_codex":[0.9995959,0.0000438065,0.00002106249,0.00004486708,0.0002083372,0.00008598132],"domain_scores_gemma":[0.9984038,0.0001121373,0.00006699016,0.00006409349,0.0007395978,0.0006132858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001441222,0.000004907834,0.00006658438,0.00002067166,8.089949e-7,0.00001658656,0.000007921866,0.000004725849,0.0000205552,0.0005423657,0.9863856,0.01291492],"study_design_scores_gemma":[0.000002578402,0.000003481418,0.000311198,0.00004618687,5.23214e-7,0.0000137681,0.0000322727,0.000005564109,0.00001430988,0.0001074149,0.9994611,0.000001582352],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008679418,0.003412575,0.0002077386,0.03519891,0.05333504,0.00007035805,0.006008175,0.0004754015,0.9004239],"genre_scores_gemma":[0.001350501,0.0008930939,0.0000434522,0.003218574,0.001822874,0.00001083665,0.001103857,0.0001005034,0.9914564],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3401971,"threshold_uncertainty_score":0.4852499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007802074069556775,"score_gpt":0.2164667597067004,"score_spread":0.2086646856371436,"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."}}