{"id":"W6957675960","doi":"10.6068/dp1712dd1ed6577","title":"RANKING: Statistics Canada. StatCan - Current Tables: Agriculture | Table ID: 32100055 | Table Name: Farm income in kind in Canada | Variable 1: Total farm income in kind (Dollars) | Variable 2: N/A | Variable 3: N/A | Variable 4: N/A | Variable 5: N/A | Variable 6: N/A, 2018. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 075-002-001","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Economic statistics; Agriculture; Summary statistics; Variable (mathematics); Farm income; Official statistics; Publication","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002821785,0.003003643,0.004000943,0.01423934,0.00434469,0.0093869,0.006326526,0.002303333,0.4530736],"category_scores_gemma":[0.03697032,0.002088321,0.002326637,0.05634147,0.001315095,0.004422061,0.003300133,0.003414339,0.3515651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0407795,"about_ca_system_score_gemma":0.1456119,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9706076,"about_ca_topic_score_gemma":0.9671054,"domain_scores_codex":[0.9921761,0.0004664784,0.0007887138,0.001218049,0.003784725,0.001565916],"domain_scores_gemma":[0.9260308,0.005234354,0.001925653,0.003634387,0.05957374,0.003601051],"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":[0.000005686198,0.000001965362,0.0001632176,0.0001076774,0.000005683742,0.000002505218,0.000006570402,0.00003066487,0.000003519214,0.000228118,0.9983289,0.00111568],"study_design_scores_gemma":[0.00006380493,0.000004074839,0.003756892,0.0004719898,0.00001915691,0.00001117176,0.000150336,0.0001719905,0.00006409077,0.0009884239,0.9942426,0.00005540235],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001609273,0.00003953939,0.00004666157,0.0002327689,0.00007299045,0.00002475433,0.9962296,0.0002574469,0.0030801],"genre_scores_gemma":[0.0006041735,0.0003546183,0.000644891,0.0004114822,0.00005362915,0.0002336546,0.9843342,0.0008734883,0.01248991],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4530736,"threshold_uncertainty_score":0.7801242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01491918774886908,"score_gpt":0.2359224310041691,"score_spread":0.2210032432553,"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."}}