{"id":"W2386958723","doi":"","title":"Response of winter wheat and cotton to climate warming in Northwest China","year":2009,"lang":"en","type":"article","venue":"Ganhan diqu nongye yanjiu","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Sowing; Agronomy; Winter wheat; Environmental science; Sanjiang Plain; Cultivar; Global warming; Biology; Climate change; Ecology; Wetland","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":[0.0003344826,0.0002148257,0.0001644183,0.0003694088,0.0002434656,0.0003193835,0.0001462454,0.0002191249,0.0005200454],"category_scores_gemma":[0.0006133438,0.0001392662,0.0002417527,0.0005012908,0.0001677496,0.0001922466,0.0002522735,0.0001579487,0.00006109368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008534778,"about_ca_system_score_gemma":0.0004735028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05356869,"about_ca_topic_score_gemma":0.09307127,"domain_scores_codex":[0.999862,0.00002402709,0.00001252004,0.00003333917,0.00002767638,0.00004047728],"domain_scores_gemma":[0.9995333,0.00006527574,0.0001884915,0.00002832651,0.00008959082,0.00009499032],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007985152,0.00001188365,0.9949832,0.000012921,0.00003589992,0.0001297664,0.0002178569,0.0004989987,0.002116655,0.00002527803,0.00007550217,0.001812159],"study_design_scores_gemma":[8.756722e-7,0.000007850565,0.999564,9.183357e-7,0.000002929661,0.00001384182,0.00007338045,0.0001921409,0.00004938502,0.000004879898,0.00008881898,0.000001081406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996471,0.00003788812,0.00002449047,0.00002017701,0.000002049549,0.000001301353,0.0001355345,0.000001714645,0.0001297001],"genre_scores_gemma":[0.9994323,0.00004714607,0.00003025584,0.000009515857,0.000003709479,0.000002641616,0.0003588698,7.685797e-7,0.0001148364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05356869,"threshold_uncertainty_score":0.1065138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003936153205766168,"score_gpt":0.2029210518772751,"score_spread":0.1989848986715089,"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."}}