{"id":"W2339139162","doi":"","title":"Intercomparison of timothy models in northern countries","year":2015,"lang":"en","type":"article","venue":"Jukuri (Natural Resources Institute Finland (Luke))","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forage; Cultivar; Yield (engineering); Silage; Agriculture; Agronomy; Hay; Crop; Livestock; Phleum; Environmental science; Simulation modeling; Geography; Agricultural engineering; Mathematics; Forestry; Biology; Ecology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003152702,0.0003099735,0.0004914405,0.0000530279,0.00009439305,0.00009848019,0.0005505157,0.0002379496,0.00006331208],"category_scores_gemma":[0.0001503844,0.0001137985,0.0001282595,0.0005158123,0.0001979546,0.0005571231,0.0001974669,0.000389639,0.00006938196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001398995,"about_ca_system_score_gemma":0.00002519756,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001567034,"about_ca_topic_score_gemma":0.04043913,"domain_scores_codex":[0.9980661,0.0000780992,0.0004871542,0.0003883567,0.000504858,0.0004753936],"domain_scores_gemma":[0.9990849,0.0001284172,0.0002383293,0.0001267531,0.0002023288,0.0002192953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003621573,0.001623074,0.7625114,0.0003978818,0.0002736525,0.0003533981,0.04131703,0.01490174,0.02378566,0.002487643,0.04857355,0.1001533],"study_design_scores_gemma":[0.002316534,0.0008640637,0.2860219,0.0005134863,0.00006127253,0.00008603578,0.006178346,0.005096862,0.001750389,0.001750248,0.6940407,0.0013202],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895378,0.001874903,0.000002765275,0.00184796,0.0004479965,0.0002928776,0.0001018623,0.00006696929,0.005826801],"genre_scores_gemma":[0.9983327,0.0001412287,0.00007041936,0.0002844932,0.0003523722,0.00001215916,0.0001524888,0.000002705085,0.0006513917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6454671,"threshold_uncertainty_score":0.9770703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05043947944451159,"score_gpt":0.2540751496953845,"score_spread":0.2036356702508729,"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."}}