{"id":"W6920688644","doi":"10.6068/dp1712d166f2c55","title":"MAP: Statistics Canada. StatCan - Current Tables: Agriculture | Table ID: 32100038 | Table Name: Fertilizer shipments to Canadian agriculture and export markets, by product type and fertilizer year, cumulative data | Variable 1: Ammonia (NH3) 82-0-0-0 | Variable 2: July to September (Metric tonnes) | Variable 3: N/A | Variable 4: N/A | Variable 5: N/A | Variable 6: N/A, 2020. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 075-002-001","year":2020,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Table (database); Summary statistics; Product (mathematics); Variable (mathematics); Economic statistics; Census; Official statistics; Variables","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":[0.001900053,0.002599861,0.003052315,0.01225222,0.003078668,0.006290543,0.005083752,0.001739584,0.3870805],"category_scores_gemma":[0.0204667,0.002072437,0.002287416,0.0569663,0.0009273068,0.003370636,0.002482675,0.002804437,0.2298868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03466683,"about_ca_system_score_gemma":0.1223477,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9791517,"about_ca_topic_score_gemma":0.9706017,"domain_scores_codex":[0.9957487,0.0002548081,0.0004869392,0.0006528226,0.001880532,0.0009763348],"domain_scores_gemma":[0.9602492,0.002654991,0.001250708,0.001659366,0.03249678,0.001689076],"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":[0.000007374897,0.00000294915,0.000265351,0.0001880759,0.000008575108,0.00000406741,0.0000100599,0.00006909656,0.000005392689,0.0002417298,0.9978338,0.001363548],"study_design_scores_gemma":[0.00008461193,0.000005290717,0.006015532,0.0005652618,0.0000274552,0.00001618078,0.000240416,0.0002344741,0.00007840362,0.0008839463,0.991788,0.0000605087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001617536,0.00003091359,0.00003107122,0.0001423854,0.0000461922,0.00001835264,0.9977195,0.0001405293,0.001854937],"genre_scores_gemma":[0.0006427776,0.0004189894,0.0006893883,0.0002606904,0.00003636109,0.0002243919,0.9868015,0.0004857083,0.01044033],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3870805,"threshold_uncertainty_score":0.8742552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01748887612986036,"score_gpt":0.2456169890309222,"score_spread":0.2281281129010619,"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."}}