{"id":"W6939035305","doi":"10.6068/dp15e75450b1310","title":"Trend 2001 - 2009. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Inputs - Employment Indicators | Country: Canada | Item: Labour force survey | Element: Employment-to-population ratio, rural areas, male - %, 2001-2009. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-064.","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; 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":[0.001920432,0.001948272,0.001851456,0.00517162,0.001049331,0.00291372,0.0036318,0.00124069,0.05936071],"category_scores_gemma":[0.01207368,0.001212369,0.00127819,0.02420477,0.0003555428,0.002515509,0.001714315,0.00276917,0.06390781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007573118,"about_ca_system_score_gemma":0.01621175,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6943656,"about_ca_topic_score_gemma":0.6001397,"domain_scores_codex":[0.9977446,0.0002186579,0.0003045865,0.0004001313,0.000906317,0.0004257735],"domain_scores_gemma":[0.9881058,0.0008565641,0.0008949801,0.0007321513,0.008839087,0.0005714243],"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":[0.0000247135,0.00001009072,0.0009765324,0.0002290779,0.00001434586,0.000006347558,0.00001153169,0.00008630649,0.0000136417,0.0002196261,0.9969408,0.001466988],"study_design_scores_gemma":[0.0001278087,0.00001704122,0.02591408,0.0006523351,0.00003495271,0.00002349633,0.0002663566,0.000284278,0.0001614833,0.000482029,0.97199,0.00004624206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004251947,0.00001899647,0.00001632691,0.0000403053,0.00002384981,0.000008435962,0.9994276,0.00002848588,0.0003934693],"genre_scores_gemma":[0.0002357008,0.00006881463,0.000133492,0.00003574751,0.000008525701,0.00007461478,0.9984658,0.00003378125,0.0009435647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3056344,"threshold_uncertainty_score":0.6148688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704974330346259,"score_gpt":0.2418322299753464,"score_spread":0.2247824866718838,"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."}}