{"id":"W6976846995","doi":"10.6068/dp14ba7bb4cb972","title":"Trend 2008 - 2012. Statistics Canada. CANSIM: Agriculture - Farms and Farm Operators | Country: Canada | Table: Total number of employees of specialized greenhouse operations | Variable: Permanent employees, Specialized greenhouse flower and plant | Units: #, 2008-2012. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-004.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Census; Economic statistics; Greenhouse; Official statistics; Distribution (mathematics); Social statistics; Summary statistics","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":[0.002164284,0.002369626,0.002732597,0.00962734,0.003139857,0.005138719,0.005291163,0.001470799,0.1081195],"category_scores_gemma":[0.01731374,0.001911672,0.002062941,0.04540982,0.0006327159,0.002832,0.002430334,0.002837128,0.06443203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05882438,"about_ca_system_score_gemma":0.1534742,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994094,"about_ca_topic_score_gemma":0.9919843,"domain_scores_codex":[0.9951929,0.0002869712,0.0004853396,0.0005918857,0.002307316,0.001135634],"domain_scores_gemma":[0.9633459,0.001256385,0.001118115,0.001013985,0.03152832,0.001737266],"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":[0.00001868483,0.000004929771,0.0007353186,0.0002186115,0.00001603307,0.000005796194,0.00002011901,0.00008897776,0.000008822526,0.0003756958,0.9969724,0.001534648],"study_design_scores_gemma":[0.0000995439,0.000009744362,0.01819121,0.0007423513,0.00005302576,0.00002360621,0.0004233331,0.0003839232,0.0001537615,0.0005745176,0.9792719,0.00007309241],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005135021,0.00005481627,0.00002909191,0.0001532978,0.00003171312,0.00001612696,0.9982515,0.00007518083,0.001336977],"genre_scores_gemma":[0.0009388832,0.0003735421,0.0005160259,0.000224032,0.00002122716,0.0001527497,0.990538,0.0001707795,0.007064703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1081195,"threshold_uncertainty_score":0.4268027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01941661343848006,"score_gpt":0.2448617377134698,"score_spread":0.2254451242749898,"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."}}