{"id":"W4379647645","doi":"10.17521/cjpe.2022.0170","title":"Temporal and spatial variation of vegetation photosynthetic phenology in Dongting Lake basin and its response to climate change","year":2023,"lang":"en","type":"article","venue":"Chinese Journal of Plant Ecology","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Phenology; Climate change; Environmental science; Spatial variability; Vegetation (pathology); Physical geography; Variation (astronomy); Structural basin; Climatology; Ecology; Geography; Geology; Biology; Geomorphology","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":[0.0001920969,0.0001476698,0.0002104169,0.0005741204,0.0004542129,0.0003951636,0.0002847885,0.0002807964,0.001203471],"category_scores_gemma":[0.0003315301,0.0002284548,0.0002920899,0.0009063723,0.0004308003,0.0003470683,0.0005163402,0.0002215731,0.00008993652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006903302,"about_ca_system_score_gemma":0.0005968146,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05233355,"about_ca_topic_score_gemma":0.08543301,"domain_scores_codex":[0.9998767,0.00001431999,0.00001177726,0.00004222469,0.00001450411,0.00004035827],"domain_scores_gemma":[0.999723,0.00004318226,0.00007310864,0.00001576526,0.00004759694,0.0000974564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001771789,0.00004836208,0.98682,0.00003742971,0.0001531513,0.0002699696,0.001371065,0.0007242109,0.006224774,0.0001923534,0.0004020168,0.00357937],"study_design_scores_gemma":[0.000002351213,0.000006887756,0.9988648,0.000001250588,0.000009965025,0.00002331869,0.000285435,0.000604666,0.00005315539,0.00001546145,0.0001295127,0.000003259297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996178,0.00003284245,0.00002897844,0.0000317413,0.000002856008,0.000001053269,0.0001125598,0.000003878933,0.0001682718],"genre_scores_gemma":[0.9996476,0.00001809669,0.00002193912,0.000007454393,0.000002780232,0.00000276224,0.0001256586,0.00000111284,0.0001725517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05233355,"threshold_uncertainty_score":0.1040579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0100999399176764,"score_gpt":0.2182796410472786,"score_spread":0.2081797011296022,"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."}}