{"id":"W7084131486","doi":"10.64628/aam.795agj4wt","title":"Crop diversification is crucial to Canadian resilience in a changing world","year":2025,"lang":"en","type":"article","venue":"","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Resilience (materials science); Diversification (marketing strategy); Agricultural diversification; Agriculture; Food security; Crop; Crop production; Vulnerability (computing)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002796448,0.00007373673,0.00008583802,0.002946306,0.0001752075,0.00009491092,0.000261277,0.00003468767,0.001629341],"category_scores_gemma":[0.00007506573,0.00007777195,0.00002476735,0.003398407,0.0000383109,0.0001809489,0.00006229516,0.00005839569,0.000224007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002418636,"about_ca_system_score_gemma":0.000172065,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08132033,"about_ca_topic_score_gemma":0.319991,"domain_scores_codex":[0.9990461,0.0000296055,0.0001603289,0.000297451,0.0001351407,0.0003313651],"domain_scores_gemma":[0.9995272,0.00003674193,0.000026981,0.0002288941,0.00006143409,0.0001187045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008835334,0.00009008212,0.07460093,0.00004884355,0.000009140466,0.00002340334,0.007377493,0.001090862,0.7928511,0.04226729,0.07689533,0.00465716],"study_design_scores_gemma":[0.0008571241,0.00005605915,0.4020551,0.0002962874,0.00002170349,0.000002267046,0.00706813,0.001123745,0.173386,0.003383044,0.4109192,0.0008312669],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9141217,0.00001425888,0.00230428,0.008478231,0.0007784775,0.0003000971,0.00001518195,0.00006870455,0.07391904],"genre_scores_gemma":[0.982276,0.000001712331,0.001301618,0.004139317,0.00002828397,0.00002922265,0.000001124264,0.000003763363,0.01221893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6194651,"threshold_uncertainty_score":0.9992833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359205765720082,"score_gpt":0.2688101844927674,"score_spread":0.2552181268355665,"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."}}