{"id":"W6938975287","doi":"10.6068/dp15e76823e9589","title":"Trend 1950 - 2100. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Population | Country: Canada | Item: Population - Est. & Proj. | Element: Total Population - Female - 1000, 1950-2100. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-008.","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; Population; European union; Food security; Urbanization; World population; Population growth","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":[0.001330224,0.001612055,0.001629334,0.005245434,0.00117057,0.002744103,0.00283649,0.001148865,0.06777741],"category_scores_gemma":[0.009225926,0.00100165,0.001230074,0.02029954,0.0003668507,0.002352715,0.001714467,0.002581106,0.06191962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007010162,"about_ca_system_score_gemma":0.01982221,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7562609,"about_ca_topic_score_gemma":0.6666319,"domain_scores_codex":[0.9985384,0.0001176296,0.000185759,0.0002713475,0.0005869305,0.00029983],"domain_scores_gemma":[0.9914749,0.0004880453,0.0005488078,0.0004107448,0.006665556,0.0004119739],"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":[0.00001630367,0.000006500066,0.0009474278,0.0002303791,0.00001576691,0.000005458659,0.00001112755,0.00009478936,0.00001069956,0.0002958688,0.9968263,0.001539294],"study_design_scores_gemma":[0.0001134015,0.00001463583,0.02267472,0.0006763437,0.00004200619,0.00002577807,0.0002464414,0.0003027164,0.0001607416,0.0006043636,0.975094,0.00004477095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004960985,0.00003447021,0.00001994011,0.00005584118,0.00003421955,0.00000878581,0.9991702,0.00003427815,0.0005926688],"genre_scores_gemma":[0.0004456818,0.0001362256,0.0001544579,0.00005718329,0.00001532543,0.0000880016,0.9975258,0.00004382439,0.001533497],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2437391,"threshold_uncertainty_score":0.490349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0179320518575633,"score_gpt":0.2404936899442867,"score_spread":0.2225616380867234,"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."}}