{"id":"W2285993997","doi":"","title":"Adapting Agriculture to Climate Variability: Executive Summary","year":2010,"lang":"en","type":"article","venue":"Open PRAIRIE (South Dakota State University)","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Executive summary; Agriculture; Climate change; Environmental science; Geography; Business; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008449835,0.0003183887,0.0003719715,0.0001044876,0.0006739832,0.0002980109,0.001513831,0.000136465,0.001163372],"category_scores_gemma":[0.0001763529,0.0002532786,0.0001266238,0.001955045,0.0001488593,0.001329292,0.003074427,0.0004210733,0.0008706417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004452205,"about_ca_system_score_gemma":0.00004073314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005661799,"about_ca_topic_score_gemma":0.007802361,"domain_scores_codex":[0.9974097,0.0002613753,0.0002746544,0.0009137903,0.0004097876,0.0007306686],"domain_scores_gemma":[0.998494,0.0001146075,0.0002344165,0.0005975761,0.0000920204,0.0004673878],"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":[0.0008213583,0.0006300468,0.671772,0.000100202,0.0005956335,0.001538823,0.02006655,0.01035104,0.0689539,0.008885462,0.2064805,0.009804504],"study_design_scores_gemma":[0.0006022542,0.00009520617,0.06959278,0.00003040542,0.000124865,0.00001221796,0.01353836,0.0001275253,0.000397379,0.0001095189,0.9146371,0.0007323767],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6842269,0.000002260558,0.0004977346,0.001390335,0.0001924352,0.001370554,0.0001596033,0.0001192189,0.3120409],"genre_scores_gemma":[0.8683366,0.000005415624,0.00366028,0.0002671866,0.00005883432,0.000008517265,0.00006411949,0.0000261716,0.1275729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7081566,"threshold_uncertainty_score":0.999992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006665641418131464,"score_gpt":0.1974551555668263,"score_spread":0.1907895141486948,"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."}}