{"id":"W4387891038","doi":"10.1787/dcr-2015-graph44-en","title":"Share of ODA channelled to and through the multilateral system, two year averages, gross disbursements, Canada","year":2015,"lang":"en","type":"other","venue":"Development cooperation report ...","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography","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":[0.0004245755,0.0005101176,0.0003352057,0.002440894,0.002206356,0.003250285,0.0007835862,0.0004735829,0.006768373],"category_scores_gemma":[0.00190169,0.0003662065,0.000549431,0.005902826,0.0006617595,0.0007780764,0.001297525,0.001294831,0.0009776405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0515485,"about_ca_system_score_gemma":0.08214276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994171,"about_ca_topic_score_gemma":0.9959168,"domain_scores_codex":[0.9985803,0.00003916505,0.00004719982,0.00008389583,0.0006642194,0.0005850679],"domain_scores_gemma":[0.9977787,0.00005408942,0.0001721463,0.00003832512,0.001505417,0.0004513898],"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":[0.0005627209,0.000145323,0.1795909,0.000734128,0.0004352799,0.0005679462,0.001593444,0.006644465,0.001723232,0.04488059,0.6599534,0.1031687],"study_design_scores_gemma":[0.00007116378,0.00003852495,0.5941231,0.0002031514,0.0001392732,0.0002680613,0.002931929,0.002489895,0.002366052,0.001127661,0.3961559,0.00008533662],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.3311286,0.01424754,0.001485867,0.01281318,0.0006108913,0.0003419459,0.4259112,0.0007357302,0.2127251],"genre_scores_gemma":[0.6657748,0.01359995,0.001479469,0.001007185,0.00007170587,0.0001157308,0.07617369,0.0002211945,0.2415563],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0515485,"threshold_uncertainty_score":0.3740123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01312620386356148,"score_gpt":0.2539145501141682,"score_spread":0.2407883462506068,"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."}}