{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005618614,0.0002184812,0.0002291336,0.000061611,0.0001175423,0.00002206205,0.0002714659,0.0001270676,0.000801781],"category_scores_gemma":[0.0001585507,0.000211577,0.00005178903,0.0001353992,0.0001992317,0.000129056,0.0004123716,0.0001577042,0.0002190785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001506757,"about_ca_system_score_gemma":0.000003047655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003560119,"about_ca_topic_score_gemma":0.00111343,"domain_scores_codex":[0.9982463,0.0002443772,0.000281164,0.0004666188,0.0004529745,0.000308563],"domain_scores_gemma":[0.9990602,0.0001473874,0.00009871877,0.0004982358,0.000004270659,0.0001911525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000303172,0.0001072912,0.9216225,0.00004595461,0.00001260196,0.000006206809,0.00211748,0.001029223,0.03639759,0.0000396401,0.002583834,0.03573453],"study_design_scores_gemma":[0.0003455753,0.000294746,0.983576,0.00002978155,0.00001621617,0.000006758047,0.00006501955,0.0005753991,0.009605222,0.0004930287,0.004750624,0.000241656],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946613,0.00002708317,0.001900671,0.001280324,0.0001395425,0.0002895664,0.00002015845,0.00003915924,0.001642237],"genre_scores_gemma":[0.9977471,0.000007431402,0.001001184,0.0006270026,0.00009228253,0.00001950703,0.00001713991,0.00003666107,0.0004516793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0619535,"threshold_uncertainty_score":0.877894,"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."}}