{"id":"W6920288321","doi":"10.6068/dp14baa30922b47","title":"Trend 2008 - 2011. Statistics Canada. CANSIM: Labor - Occupations | Country: Canada | Province: Prince Edward Island | Table: Total greenhouse, sod and nursery employees | Variable: Permanent employees, Greenhouse | Units: #, 2008-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-143.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Economic statistics; Official statistics; Wage; Summary statistics; Population statistics; Social statistics; Wages and salaries; Statistical analysis","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":[0.002211253,0.002305216,0.002799571,0.008955526,0.003488412,0.005366751,0.005124114,0.001510338,0.1139933],"category_scores_gemma":[0.01872984,0.001949027,0.002177611,0.04161637,0.0006572413,0.002646527,0.002501535,0.002990643,0.07220418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05814602,"about_ca_system_score_gemma":0.1546502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994826,"about_ca_topic_score_gemma":0.9930325,"domain_scores_codex":[0.995622,0.0002649467,0.0004786969,0.0005232967,0.001996164,0.001114943],"domain_scores_gemma":[0.9644572,0.00128056,0.0009705587,0.001060283,0.03051584,0.00171559],"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":[0.00001929756,0.000004811744,0.0007642456,0.0002228805,0.00001598373,0.00000579871,0.00002170958,0.00007860405,0.000007595318,0.0003256615,0.9969698,0.00156367],"study_design_scores_gemma":[0.0001169328,0.00001038849,0.02016659,0.0008198785,0.0000568748,0.0000234827,0.0004752271,0.0003435114,0.0001524986,0.0005649851,0.9771928,0.00007674111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005026032,0.00005249309,0.00002719592,0.0001474501,0.00003483304,0.00001678082,0.9983857,0.00007124484,0.001213947],"genre_scores_gemma":[0.0008484635,0.0003395471,0.0004709451,0.0002026724,0.00002241622,0.0001605472,0.9910312,0.0001575049,0.006766703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1139933,"threshold_uncertainty_score":0.4218808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189007133640022,"score_gpt":0.2465479110557306,"score_spread":0.2276471976917284,"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."}}