{"id":"W6976617642","doi":"10.6068/dp15df469845670","title":"Trend 1997 - 2014. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Investment - Credit to Agriculture | Country: Canada | Item: Total Credit | Element: Value Local Currency - millions, 1997-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-071.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Trypanosoma species research and implications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Index (typography); Currency; Investment (military); European union; Food security; Official statistics","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":[],"category_scores_codex":[0.00009851007,0.0006154324,0.0006953075,0.000284767,0.0005083722,0.0003085224,0.00123653,0.0005347573,0.001428642],"category_scores_gemma":[0.0003843128,0.0003936617,0.000001354242,0.000558781,0.0003057465,0.0003056708,0.0008953246,0.0007120587,0.00007522185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000176061,"about_ca_system_score_gemma":0.0006844091,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5108643,"about_ca_topic_score_gemma":0.5339783,"domain_scores_codex":[0.9963258,0.0002404907,0.0006796387,0.001052676,0.001191348,0.000510052],"domain_scores_gemma":[0.9961119,0.0003002253,0.0007097744,0.002072986,0.0002431672,0.0005619796],"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":[0.00001795407,0.000200204,0.00006743494,0.000586459,0.0003908045,0.00001570049,0.00001192789,0.000004643459,0.0002781873,0.004304422,0.9940586,0.00006365707],"study_design_scores_gemma":[0.0009444415,0.0003578993,0.001462167,0.0001280912,0.0005994707,0.0002843508,0.0002211404,0.00007468593,0.00000530511,9.259132e-7,0.9954466,0.0004749035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001219337,0.002361571,0.00005320274,0.0001719469,0.0003440537,0.001717886,0.9944322,0.00006749101,0.0008394561],"genre_scores_gemma":[0.0003080005,0.005178961,0.0002524984,0.000296449,0.0005720548,0.00003414269,0.9917489,0.0001070413,0.001501985],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02311403,"threshold_uncertainty_score":0.9998515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583633724264803,"score_gpt":0.2524448278661132,"score_spread":0.2366084906234652,"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."}}