{"id":"W7055170673","doi":"","title":"Canadian Shredded Wheat Company, Ltd.","year":2018,"lang":"en","type":"article","venue":"Digital WPI","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Winter wheat; Wheat flour; Agriculture; Crop","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003567704,0.00008559386,0.00008329929,0.00007200553,0.0001013918,0.0002113352,0.0001843544,0.00001596681,0.1809019],"category_scores_gemma":[0.000005203225,0.00008091769,0.00004076123,0.0001230941,0.00006857253,0.00004007934,0.00006911024,0.00006580522,0.002111026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001247804,"about_ca_system_score_gemma":0.0001747276,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09215662,"about_ca_topic_score_gemma":0.03433213,"domain_scores_codex":[0.9992514,0.000006598789,0.0001066756,0.0001564772,0.0001554693,0.0003233977],"domain_scores_gemma":[0.9993931,0.00001855666,0.00001493619,0.0002166824,0.00008458072,0.0002721631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008107498,0.00006720673,0.05627954,0.000003642936,0.00002662536,0.000004839625,0.0001536245,1.78523e-7,0.0003557043,0.00889861,0.2620206,0.6721813],"study_design_scores_gemma":[0.00027941,0.00007797353,0.01303109,0.000007681349,0.000002796241,4.157668e-7,0.0002428226,0.0002345269,0.0007042863,0.000713323,0.9845628,0.0001429053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2008688,0.000004693075,0.00006030425,0.001278324,0.00008080267,0.0001240853,0.00009351966,0.00001429191,0.7974752],"genre_scores_gemma":[0.9426611,1.225688e-7,0.00002573149,0.00009369208,0.0002618154,0.000009070283,0.00007020157,0.000007445457,0.05687081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7417923,"threshold_uncertainty_score":0.9986659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001200657097388,"score_gpt":0.2441006825084267,"score_spread":0.2340886759374529,"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."}}