{"id":"W4407215605","doi":"10.1002/agj2.70017","title":"Potato yield projections under climate change in Canada","year":2025,"lang":"en","type":"article","venue":"Agronomy Journal","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Agronomy; Yield (engineering); Climate change; Environmental science; Agroforestry; Geography; Biology; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002932473,0.0004373359,0.0002277554,0.0004210743,0.0007642873,0.0009475144,0.000591112,0.0004039842,0.001434605],"category_scores_gemma":[0.0008269189,0.000190232,0.0006256635,0.001125956,0.0002738619,0.0003103039,0.0003976481,0.0004415498,0.0001465277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01859609,"about_ca_system_score_gemma":0.009717066,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9801115,"about_ca_topic_score_gemma":0.9723002,"domain_scores_codex":[0.9998149,0.00002166751,0.000006077507,0.00003566887,0.00005594931,0.00006575324],"domain_scores_gemma":[0.9994949,0.00004224433,0.00003022241,0.00001440887,0.0003609197,0.00005719376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000231751,0.00005455474,0.1437442,0.0000614475,0.0001511488,0.000247632,0.0001049224,0.8386377,0.00234807,0.001666076,0.003948182,0.008804148],"study_design_scores_gemma":[0.00009628086,0.0001009865,0.2451562,0.00003734505,0.0001149506,0.00007356991,0.0008632874,0.7412615,0.001958865,0.001114568,0.009121293,0.0001009949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856386,0.0002700944,0.00137057,0.0005485038,0.00002017454,0.00002292848,0.006320379,0.000123815,0.00568493],"genre_scores_gemma":[0.995637,0.0002032308,0.0006099553,0.00005082941,0.000001976628,0.000009952584,0.002368261,0.000009378334,0.001109412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01988846,"threshold_uncertainty_score":0.1349247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02573551965598138,"score_gpt":0.2254014493788073,"score_spread":0.1996659297228259,"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."}}