{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038035,0.0005611936,0.0007070695,0.000170355,0.0003539916,0.0002229246,0.001187775,0.000702341,0.00159456],"category_scores_gemma":[0.000434644,0.0003329604,0.00000107315,0.0007377674,0.0003540786,0.0001551259,0.0009285808,0.0007334831,0.00002512829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001560044,"about_ca_system_score_gemma":0.0004900291,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7973889,"about_ca_topic_score_gemma":0.7224149,"domain_scores_codex":[0.9961123,0.0003026216,0.0006978881,0.0009338632,0.001450215,0.0005031207],"domain_scores_gemma":[0.9966534,0.0003803528,0.0008291808,0.001372506,0.0002284889,0.0005360558],"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":[0.00002667254,0.0002355172,0.001348901,0.0007574955,0.0004574724,0.0000174425,0.00000570334,3.586962e-7,0.000172547,0.0005897015,0.9963319,0.00005632442],"study_design_scores_gemma":[0.001103985,0.0002079808,0.003249081,0.0001314878,0.0004345755,0.0001015417,0.00005530565,0.00001627009,0.00001831388,4.657847e-7,0.9942593,0.0004216688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001230386,0.001261507,0.00002106228,0.0001655318,0.0001894415,0.001079593,0.9969561,0.00004817267,0.0001555546],"genre_scores_gemma":[0.001622721,0.005778247,0.0000360042,0.0001883734,0.0002380492,0.00001708283,0.9874678,0.00008692965,0.004564813],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07497397,"threshold_uncertainty_score":0.9999123,"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."}}