{"id":"W6938956605","doi":"10.6068/dp15df3b3207a40","title":"Trend 1961 - 2014. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Production - Crops | Country: Canada | Item: Mustard seed | Element: Yield - Hg/Ha, 1961-2014. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-012.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Yield (engineering); Production (economics); Threshing; Crop; Scarcity; Crop yield","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":[0.001752281,0.001977194,0.001793725,0.005780638,0.001161373,0.003292593,0.003575295,0.001250481,0.08128267],"category_scores_gemma":[0.0132567,0.001076805,0.001336869,0.02555094,0.0004851135,0.002593391,0.001648762,0.002556035,0.0774513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008586451,"about_ca_system_score_gemma":0.01930018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7355616,"about_ca_topic_score_gemma":0.6934015,"domain_scores_codex":[0.9978514,0.0001852725,0.0002377061,0.0004330373,0.0008892657,0.0004034308],"domain_scores_gemma":[0.9861264,0.001122472,0.001000536,0.0009213599,0.01013719,0.0006921936],"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":[0.00002283398,0.000007799955,0.0007802518,0.0002329069,0.0000177848,0.000005037591,0.00001032098,0.0001096632,0.00001545589,0.0002889409,0.9972478,0.001261205],"study_design_scores_gemma":[0.0001004671,0.000009463225,0.01129094,0.0004684355,0.00002724025,0.00001391064,0.0001458047,0.0002054474,0.0001354169,0.0005191666,0.9870487,0.000035121],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003296696,0.00002479278,0.00001793766,0.00004320055,0.00001740548,0.000006124735,0.9993543,0.00003943585,0.0004638243],"genre_scores_gemma":[0.0002209007,0.00007263687,0.0001245781,0.00003685286,0.00000821463,0.00005013265,0.9984515,0.00004518607,0.0009899734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2644384,"threshold_uncertainty_score":0.5319914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476139921393864,"score_gpt":0.2197432612326793,"score_spread":0.2049818620187407,"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."}}