{"id":"W4398786206","doi":"10.1360/sste-2023-0106","title":"中国亚热带地区&amp;lt;bold&amp;gt;2000~2019&amp;lt;/bold&amp;gt;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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002798927,0.0005560743,0.000367749,0.002285483,0.004696207,0.01157941,0.001073432,0.002090707,0.03590606],"category_scores_gemma":[0.004315024,0.0003476209,0.0004849729,0.004227948,0.005623718,0.009805876,0.002605527,0.003136031,0.01281875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008842831,"about_ca_system_score_gemma":0.01458442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02857011,"about_ca_topic_score_gemma":0.02821513,"domain_scores_codex":[0.9979248,0.0005253693,0.0001280817,0.0003939079,0.0008079864,0.0002197815],"domain_scores_gemma":[0.9979466,0.0003655213,0.000151745,0.0001260248,0.001032342,0.0003777212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00008302708,0.00007877866,0.004360663,0.0005009843,0.00002390869,0.0002977127,0.00979021,0.001384412,0.00117961,0.6384951,0.1564044,0.1874013],"study_design_scores_gemma":[0.00001879662,0.00003098786,0.004370817,0.000427569,0.00002305749,0.0001750225,0.009029168,0.001328976,0.001387873,0.09878856,0.8843681,0.00005110407],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01771464,0.006322348,0.01348679,0.03069034,0.001350814,0.0001810199,0.0007542023,0.0004175015,0.9290824],"genre_scores_gemma":[0.4036116,0.01684192,0.02989112,0.006173533,0.0009035598,0.0006133621,0.001381905,0.0004329586,0.5401501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03590606,"threshold_uncertainty_score":0.1201177,"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."}}