{"id":"W6976744178","doi":"10.6068/dp15dfe301db482","title":"Trend 1969 - 2013. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Inputs - Employment Indicators | Country: Canada | Item: Labour force survey | Element: Employment distribution, agriculture, male - %, 1969-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-064.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"Biomedical and Chemical Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Underemployment; Population; Wage; Work (physics); Official statistics; International comparisons; Distribution (mathematics)","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":[0.001821702,0.001798547,0.001937614,0.005740634,0.001147357,0.002898656,0.003533744,0.001088055,0.0660798],"category_scores_gemma":[0.01165789,0.001104065,0.001296582,0.02720326,0.0003724842,0.002504636,0.001727965,0.002635434,0.06138344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008190016,"about_ca_system_score_gemma":0.01860841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.745656,"about_ca_topic_score_gemma":0.6770034,"domain_scores_codex":[0.9977893,0.0001920175,0.0002868366,0.0003706886,0.0009255614,0.0004357636],"domain_scores_gemma":[0.9886869,0.000762901,0.0008543125,0.0006243414,0.008515639,0.0005559663],"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":[0.00002756926,0.00001115916,0.00109973,0.0002539437,0.00001696919,0.000006806087,0.00001320885,0.00009550773,0.00001360686,0.0002599524,0.9966664,0.001535287],"study_design_scores_gemma":[0.0001439156,0.00001624434,0.02927931,0.000689997,0.0000402587,0.00002369731,0.0003050526,0.0002663237,0.0001839114,0.0005762829,0.9684254,0.00004974801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004404375,0.00002183376,0.00001747039,0.00003730797,0.0000236804,0.000008849698,0.9994041,0.00002942838,0.0004132407],"genre_scores_gemma":[0.0002900667,0.00008231516,0.0001375435,0.00003332545,0.00001050197,0.00007466059,0.9982103,0.00003872469,0.001122537],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.254344,"threshold_uncertainty_score":0.5116838,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01717624142400951,"score_gpt":0.2532441565251823,"score_spread":0.2360679151011728,"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."}}