{"id":"W4400634237","doi":"10.1787/dcr-2017-graph76-en","title":"Composition of bilateral ODA, 2015, gross disbursements, Canada","year":2017,"lang":"en","type":"other","venue":"Development cooperation report ...","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Composition (language); Art","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":[0.0006869946,0.0006581289,0.0004162988,0.005254677,0.003045691,0.00305354,0.001008606,0.0004742407,0.01443523],"category_scores_gemma":[0.002228579,0.0004556457,0.0004304231,0.009494171,0.0006983016,0.0006510423,0.001349804,0.000987075,0.002408875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05759717,"about_ca_system_score_gemma":0.117487,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9898806,"about_ca_topic_score_gemma":0.9944904,"domain_scores_codex":[0.9978405,0.0000440728,0.00006761635,0.0001169358,0.001244522,0.0006863746],"domain_scores_gemma":[0.99784,0.0000320097,0.0000947495,0.00004225539,0.001605489,0.0003853999],"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":[0.0002970693,0.00009366291,0.08466227,0.0006266113,0.0001442962,0.0004286245,0.001272576,0.003431999,0.001732466,0.03672898,0.7811767,0.08940468],"study_design_scores_gemma":[0.00002824851,0.00001564898,0.2943981,0.00014707,0.00004186748,0.0001261885,0.002169752,0.001096095,0.00112712,0.0008589593,0.69995,0.0000409657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.1803761,0.01021904,0.001641476,0.007592441,0.0011816,0.0005870932,0.4840241,0.001325228,0.3130529],"genre_scores_gemma":[0.4007545,0.008557524,0.003908066,0.001404825,0.0001057287,0.0002571651,0.1154925,0.0006024726,0.4689173],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05759717,"threshold_uncertainty_score":0.4178987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005787735553012772,"score_gpt":0.212990234368155,"score_spread":0.2072024988151422,"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."}}