{"id":"W7027887882","doi":"","title":"Drought in Canada could boil up pasta prices as wheat supply dwindles","year":2023,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Food supply; Agriculture; Government (linguistics); Yield (engineering)","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":[0.0002439868,0.0004100466,0.0002436723,0.0006141933,0.005745881,0.003598216,0.0005258609,0.001436884,0.2550561],"category_scores_gemma":[0.0009214862,0.0002525289,0.0003105309,0.00135801,0.0004896608,0.0009482928,0.0008407936,0.001632427,0.04716709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01175431,"about_ca_system_score_gemma":0.02183834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9667466,"about_ca_topic_score_gemma":0.9927334,"domain_scores_codex":[0.9997566,0.000005545361,0.000003255441,0.00001300391,0.0001069187,0.0001147531],"domain_scores_gemma":[0.9992493,0.00001983838,0.00001172206,0.00001392175,0.0003919777,0.000313285],"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":[0.00002617736,0.000009758668,0.0009178115,0.00002987112,0.000002220783,0.0000586379,0.00009099015,0.00004693466,0.0002114094,0.0007285759,0.9794664,0.01841109],"study_design_scores_gemma":[0.00001038095,0.000006211363,0.00676623,0.0000521695,0.000004272327,0.00001875943,0.0005866847,0.0000809748,0.000185348,0.0002260588,0.9920475,0.00001542149],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01037767,0.004296219,0.0005178064,0.05599881,0.005100864,0.0001197023,0.0253558,0.002108046,0.8961252],"genre_scores_gemma":[0.01613531,0.002169957,0.0003245527,0.003472139,0.0001647455,0.00001338941,0.003239668,0.0003528639,0.9741274],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2550561,"threshold_uncertainty_score":0.8532475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006310665922504895,"score_gpt":0.190007282107329,"score_spread":0.1836966161848241,"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."}}