{"id":"W2080130642","doi":"10.4141/s04-025","title":"Potential impacts of climate change on corn, soybeans and barley yields in Atlantic Canada","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Soil Science","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Forest Service; Agriculture and Agri-Food Canada","funders":"Government of Canada","keywords":"Hordeum vulgare; Agronomy; Crop; Environmental science; Growing degree-day; Zea mays; Linear regression; Mathematics; Poaceae; Biology; Phenology; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005665116,0.0000834825,0.0001480715,0.0000944119,0.0001464283,0.0000526114,0.0003448264,0.00004158601,0.00005334713],"category_scores_gemma":[0.0001486106,0.00003708334,0.00002467583,0.000503313,0.000199925,0.0002470464,0.00001704415,0.000153885,0.000001526209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001969098,"about_ca_system_score_gemma":0.0008685355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8359494,"about_ca_topic_score_gemma":0.9966742,"domain_scores_codex":[0.9988488,0.00003456446,0.0002330541,0.0001258673,0.0002977305,0.0004599652],"domain_scores_gemma":[0.9990481,0.00007682677,0.0001454843,0.00003497927,0.0000923547,0.0006022215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002051628,0.0000491891,0.6681857,0.00001892064,0.00001140411,0.001193306,0.0005978021,0.0002643501,0.1775958,0.0005009507,0.001087311,0.1502902],"study_design_scores_gemma":[0.0001177736,0.0002111056,0.996201,0.0001105408,0.000004195638,0.0002389596,0.0001416582,0.0002230812,0.001634349,0.00002039029,0.001002224,0.00009475555],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966785,0.0001523307,7.173718e-8,0.00254128,0.0001182484,0.00004985569,0.00004630904,0.000001443737,0.0004119878],"genre_scores_gemma":[0.9992677,0.0001403316,0.000008705056,0.0004652915,0.0001072683,4.014225e-7,0.000001144785,4.832342e-7,0.000008659953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3280153,"threshold_uncertainty_score":0.165143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.013025084078137,"score_gpt":0.1962915535485505,"score_spread":0.1832664694704135,"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."}}