{"id":"W4307283108","doi":"10.1002/ecs2.4268","title":"Using successional drivers to understand spatiotemporal dynamics in intertidal mudflat communities","year":2022,"lang":"en","type":"article","venue":"Ecosphere","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University; University of Victoria; University of New Brunswick","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Fonds en Fiducie pour la Faune du Nouveau-Brunswick; Environment and Climate Change Canada; Nature Conservancy of Canada; Mount Allison University; Mitacs; University of New Brunswick; Employment and Social Development Canada; University of Victoria","keywords":"Ecological succession; Intertidal zone; Ecology; Biological dispersal; Disturbance (geology); Habitat; Ecosystem; Predation; Competition (biology); Community; Biology; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001094004,0.000186873,0.0002819373,0.00118195,0.0003933933,0.0006947949,0.0003170901,0.0002566614,0.0007659854],"category_scores_gemma":[0.002221766,0.000169701,0.0002839421,0.0005343563,0.0004001128,0.000684338,0.0005403313,0.0002568712,0.00006922421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008093308,"about_ca_system_score_gemma":0.0003775765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009853471,"about_ca_topic_score_gemma":0.02266967,"domain_scores_codex":[0.9997171,0.00008317574,0.00002510225,0.00008670711,0.00004080836,0.00004708397],"domain_scores_gemma":[0.9981775,0.0005192052,0.0006993003,0.0001254974,0.0002020963,0.0002764722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001268222,0.00005724906,0.9838597,0.00003060802,0.00007646363,0.00004877811,0.0002991432,0.0008352822,0.01108108,0.0001791219,0.00003605117,0.003369732],"study_design_scores_gemma":[0.000002668396,0.000037687,0.9949784,0.000004229074,0.00001133444,0.00002088402,0.0001783352,0.004056906,0.000483958,0.0001253101,0.00009566513,0.000004532252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988391,0.00006820316,0.0007042691,0.00001309332,0.000001240712,0.00001008887,0.0001230603,0.000007473053,0.0002336615],"genre_scores_gemma":[0.9995921,0.00001202587,0.0003041308,0.000004004703,7.59266e-7,0.000005700206,0.00005021147,8.937761e-7,0.00003016971],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009853471,"threshold_uncertainty_score":0.01959229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03191047064293297,"score_gpt":0.2311918931592387,"score_spread":0.1992814225163057,"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."}}