{"id":"W2118006015","doi":"10.1111/j.1654-1103.2011.01344.x","title":"Seed rain dynamics reveals strong dispersal limitation, different reproductive strategies and responses to climate in a temperate forest in northeast China","year":2011,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Key Technologies Research and Development Program; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biological dispersal; Seed dispersal; Ecology; Biology; Interspecific competition; Seed dispersal syndrome; Temperate forest; Temperate climate; Competition (biology); Ecosystem; Temperate rainforest","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":[0.0004489759,0.0002518386,0.000282813,0.0009993622,0.0004734087,0.000295395,0.0003244374,0.0001966398,0.0004501199],"category_scores_gemma":[0.00042075,0.0001960237,0.0003081144,0.0007471257,0.0003761621,0.0002432663,0.000357906,0.0001069896,0.00005695498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006464774,"about_ca_system_score_gemma":0.0003988759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03327783,"about_ca_topic_score_gemma":0.05719631,"domain_scores_codex":[0.9998021,0.0000303988,0.00002215873,0.00007090116,0.00002642623,0.00004804038],"domain_scores_gemma":[0.9995202,0.00006504274,0.0001539242,0.00004432214,0.00006978493,0.0001467383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004899235,0.00001896957,0.9940752,0.00001429884,0.00004502227,0.0001261139,0.0004810479,0.0001091039,0.003704589,0.00002191358,0.00003516789,0.001319585],"study_design_scores_gemma":[9.65007e-7,0.000006583466,0.9997513,5.730994e-7,0.000003348298,0.00001412138,0.00007066354,0.000112905,0.00002126882,0.000003514063,0.0000136595,0.000001008303],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998884,0.00001586778,0.00001649851,0.000004689214,3.949397e-7,9.765143e-7,0.00003841579,0.000001083487,0.00003365359],"genre_scores_gemma":[0.9998183,0.000008929349,0.00002755703,0.000003893355,0.000001323734,0.000001952215,0.0001002166,5.77763e-7,0.00003733141],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03327783,"threshold_uncertainty_score":0.06616831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02011104924265929,"score_gpt":0.2724561725416493,"score_spread":0.25234512329899,"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."}}