{"id":"W6969233895","doi":"10.5683/sp3/thnm6i","title":"Census of Agriculture, 2016 [Canada]: Farm Data and Farm Operator Data [B2020 &amp; Excel]","year":2017,"lang":"en","type":"dataset","venue":"Borealis","topic":"Parvovirus B19 Infection Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Census; Agriculture; Livestock; Farm income; Investment (military); Private sector","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003917679,0.0005005558,0.001148511,0.0001045415,0.0002630423,0.00007137014,0.001803876,0.000324793,0.00006267599],"category_scores_gemma":[0.001574696,0.0003577084,0.00004740567,0.0001085812,0.0002885589,0.0001251266,0.003305623,0.000501301,0.00003179272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001039304,"about_ca_system_score_gemma":0.0009931935,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9022408,"about_ca_topic_score_gemma":0.9674661,"domain_scores_codex":[0.997242,0.00007372737,0.0005926833,0.001033717,0.0006817785,0.000376077],"domain_scores_gemma":[0.9916754,0.0001328882,0.000575313,0.007025969,0.0003023641,0.0002880717],"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":[0.0000630354,0.00009241798,0.0003105938,0.0004075659,0.0005968345,0.00009450763,0.000009214291,7.709927e-8,0.00004477045,0.000002749458,0.9971121,0.001266155],"study_design_scores_gemma":[0.0009412945,0.00002681593,0.003938493,0.0002944728,0.0009393799,0.0001196297,0.00003809471,0.000002006819,0.00002566833,0.000001770489,0.9933046,0.0003677763],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003284311,0.004065434,0.000004038482,0.0005704263,0.0004791866,0.0005091809,0.9922479,0.00003181232,0.002059212],"genre_scores_gemma":[0.000023028,0.009696738,0.0001333387,0.0005831211,0.000900974,0.00001971117,0.9877639,0.00003149232,0.0008476401],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06522538,"threshold_uncertainty_score":0.9998875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002847363932472,"score_gpt":0.3609819941639086,"score_spread":0.2606972577706615,"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."}}