{"id":"W4398786206","doi":"10.1360/sste-2023-0106","title":"中国亚热带地区<bold>2000~2019</bold>年森林海拔分布特征及其时空动态","year":2024,"lang":"zh","type":"article","venue":"SCIENTIA SINICA Terrae","topic":"Medical Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Internal medicine; Endocrinology; Chemistry; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.005799787,0.001922635,0.002387244,0.001930931,0.001384134,0.001811279,0.00258936,0.001385345,0.06519073],"category_scores_gemma":[0.007720806,0.001570245,0.00165604,0.004666948,0.003342405,0.0009904061,0.001778629,0.003226215,0.1135878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001320449,"about_ca_system_score_gemma":0.005101337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00049472,"about_ca_topic_score_gemma":0.00170462,"domain_scores_codex":[0.9792308,0.001120672,0.00283131,0.004454718,0.007125828,0.005236712],"domain_scores_gemma":[0.985512,0.002002872,0.0005299983,0.005220928,0.0008005478,0.005933676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008597092,0.004082497,0.002490602,0.001501934,0.002757913,0.001027578,0.003289918,0.000006344156,0.0240061,0.002067498,0.8584324,0.09947755],"study_design_scores_gemma":[0.00519783,0.0009931255,0.004946897,0.004423959,0.001791181,0.0003040006,0.00008104453,0.0001961725,0.0003171993,0.001997323,0.978308,0.001443223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3448421,0.1581648,0.003476096,0.04010512,0.03942493,0.007651388,0.003924747,0.002607,0.3998038],"genre_scores_gemma":[0.593392,0.004147723,0.004172897,0.001953456,0.003809681,0.0002245745,0.002963823,0.0004010074,0.3889349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2485499,"threshold_uncertainty_score":0.999916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08425701232715119,"score_gpt":0.3970255095051232,"score_spread":0.3127684971779719,"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."}}