{"id":"W6976665019","doi":"10.60692/x7efm-v0n20","title":"Silver lining to a climate crisis in multiple prospects for alleviating crop waterlogging under future climates","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Kantian Philosophy and Modern Interpretations","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Waterlogging (archaeology); Temperate climate; Climate change; Crop; Growing season; Crop yield; Evapotranspiration; Sowing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.001627557,0.0002538837,0.0002056716,0.0004950723,0.001306192,0.003631729,0.0004347726,0.001498939,0.003152374],"category_scores_gemma":[0.001697345,0.0002070931,0.0003886329,0.0005524855,0.006777733,0.005718661,0.002542299,0.00210382,0.0004301786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003022327,"about_ca_system_score_gemma":0.002148488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004602476,"about_ca_topic_score_gemma":0.004186089,"domain_scores_codex":[0.9994876,0.0002229304,0.00002492818,0.000128455,0.00006364967,0.00007244881],"domain_scores_gemma":[0.9993737,0.0002112265,0.0001324351,0.0001160265,0.00007860138,0.00008787303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000467165,0.00002256412,0.003325802,0.00008715557,0.00001742255,0.00016497,0.003649526,0.007570391,0.001699932,0.9616032,0.002890536,0.01892179],"study_design_scores_gemma":[0.00001508711,0.0000544057,0.005514645,0.0001098015,0.00002417196,0.0001648766,0.003455057,0.01366667,0.001049897,0.8986973,0.07720447,0.00004371236],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2956293,0.004091622,0.201692,0.1495934,0.0005683893,0.00008133488,0.0003158718,0.0004135735,0.3476145],"genre_scores_gemma":[0.9816431,0.0008194315,0.009286885,0.001366148,0.00008074975,0.00002911055,0.00003402219,0.00003772981,0.006702746],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004602476,"threshold_uncertainty_score":0.02192861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06600211894232179,"score_gpt":0.2427295541551674,"score_spread":0.1767274352128456,"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."}}