{"id":"W6976629394","doi":"10.6068/dp15e757fa71246","title":"Trend 1970 - 2014. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Macrostatistics - Key Indicators | Country: Canada | Item: Gross Domestic Product | Element: Value US$ - millions, 1970-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-073.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Gross domestic product; Per capita; European union; Gross fixed capital formation; Product (mathematics); Population; Investment (military)","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":[0.0006411916,0.001247478,0.001209637,0.0007055323,0.0009877866,0.0008854669,0.002929234,0.0007688878,0.001300327],"category_scores_gemma":[0.001211109,0.0009126132,0.000001026062,0.001188007,0.0007857073,0.0006056366,0.001462308,0.001029137,0.0002251583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002530846,"about_ca_system_score_gemma":0.001159759,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8038945,"about_ca_topic_score_gemma":0.8261998,"domain_scores_codex":[0.9933017,0.0008473041,0.001292085,0.00198785,0.001753112,0.0008179638],"domain_scores_gemma":[0.9913843,0.0009623651,0.003060066,0.003860548,0.0002845388,0.0004481626],"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":[0.00002542262,0.0002055433,0.0009263699,0.001407333,0.0007541153,0.00005227252,0.00002579471,0.00002275045,0.0001030448,0.005535528,0.9909157,0.0000261794],"study_design_scores_gemma":[0.001310782,0.0001653161,0.001064418,0.0001431048,0.001690938,0.0003919678,0.0001265889,0.0001598968,0.000003100477,0.000001890516,0.9937871,0.001154863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002673375,0.002624357,0.00003143639,0.00001556619,0.0005657789,0.002180835,0.994093,0.0001649924,0.000297272],"genre_scores_gemma":[0.001000837,0.005815247,0.0005961191,0.0001115203,0.0003315149,0.00002413637,0.9909833,0.0005250829,0.0006122176],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02230533,"threshold_uncertainty_score":0.9996126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046298333193956,"score_gpt":0.2330557825851914,"score_spread":0.2225927992532518,"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."}}