{"id":"W2363614435","doi":"","title":"Response of Kobresia tibetica and Kobresia humilis population spatial pattern to soil moisture","year":2014,"lang":"en","type":"article","venue":"Shengtaixue zazhi","topic":"Environmental Changes in China","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Water content; Population; Common spatial pattern; Biomass (ecology); Wetland; Spatial distribution; Habitat; Environmental science; Spatial ecology; Ecology; Geography; Biology; Remote sensing; Geology","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":[0.0002441962,0.0001766976,0.0001983838,0.0008750407,0.0002131961,0.0002842002,0.0002265704,0.0001882603,0.0006992885],"category_scores_gemma":[0.0004198124,0.0001125578,0.0002117244,0.0004417706,0.0002798116,0.0001482128,0.0003392279,0.0001684761,0.00009168186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002774124,"about_ca_system_score_gemma":0.0001220623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007255177,"about_ca_topic_score_gemma":0.01121874,"domain_scores_codex":[0.9998533,0.0000234387,0.00001224795,0.00006123093,0.00001643919,0.00003335936],"domain_scores_gemma":[0.9997734,0.00003514022,0.00007343623,0.00002559245,0.00004994351,0.0000425116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002100413,0.00006272047,0.9414967,0.00003970944,0.0001096877,0.0002403989,0.001030158,0.001001898,0.04641289,0.0001139178,0.0001071297,0.009174713],"study_design_scores_gemma":[0.000002636831,0.00002842354,0.9988804,0.000001352825,0.000007329164,0.00004778678,0.0001895138,0.0005540115,0.0001775894,0.00001666212,0.00009105044,0.000003086433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997355,0.00001591697,0.00004038725,0.000003137569,6.285649e-7,0.000001723258,0.00004028447,0.000003432203,0.0001589566],"genre_scores_gemma":[0.9997248,0.000009386525,0.00005873245,0.000003877233,9.292003e-7,0.000003485899,0.00009679901,8.506484e-7,0.0001010728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007255177,"threshold_uncertainty_score":0.01442587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004755368539557362,"score_gpt":0.2113519793963199,"score_spread":0.2065966108567626,"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."}}