{"id":"W2050135409","doi":"10.1007/s00334-010-0236-4","title":"High-resolution studies on vegetation succession, hydrological variations, anthropogenic impact and genesis of a subrecent lake in southern Ecuador","year":2010,"lang":"en","type":"article","venue":"Vegetation History and Archaeobotany","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Deutsche Forschungsgemeinschaft","keywords":"Vegetation (pathology); Ecological succession; Understory; Physical geography; Rainforest; Environmental science; Pioneer species; Ecology; Geology; Geography; Canopy; Archaeology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006366223,0.0001261752,0.0002342949,0.0002414933,0.0001618078,0.000004207326,0.00007117286,0.0001401999,0.0002267371],"category_scores_gemma":[0.0001894785,0.00009765274,0.00003303073,0.0001310873,0.0007045402,0.0001186784,0.00001439605,0.0002505057,0.00002671995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005785793,"about_ca_system_score_gemma":0.00006939407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003090169,"about_ca_topic_score_gemma":0.02588461,"domain_scores_codex":[0.998786,0.0002918576,0.0002889027,0.0002781001,0.0001538568,0.0002012959],"domain_scores_gemma":[0.9991946,0.0004073699,0.0001396089,0.0001124194,0.0000661462,0.00007989545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000162712,0.00003811615,0.9916051,0.00005108096,0.00002550437,0.00001232664,0.002912922,0.002115896,0.0004227171,0.0003090569,0.000005112739,0.002339471],"study_design_scores_gemma":[0.0004599213,0.000256722,0.9917415,0.00002339337,0.00001680665,0.00002109238,0.0002248265,0.005211738,0.00007044155,0.001823999,0.00004879706,0.0001008072],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916832,0.007448003,0.0000294892,0.00025946,0.0003361895,0.0001598351,0.00001203804,0.00001583672,0.00005595886],"genre_scores_gemma":[0.9988351,0.0005002159,0.0005043356,0.00005326236,0.00003379464,0.000005637431,0.00004003839,0.000002775513,0.00002484645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02557559,"threshold_uncertainty_score":0.9918904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02283994448632522,"score_gpt":0.2671094501178666,"score_spread":0.2442695056315413,"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."}}