{"id":"W2279038607","doi":"","title":"Morpho-sedimentary characterization of intertidal seagrass Zostera noltii (Horneman, 1832) in relation to biometric indicators.","year":2005,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Collège Boréal","funders":"","keywords":"Seagrass; Zostera; Intertidal zone; Bioturbation; Oceanography; Sediment; Biomass (ecology); Geology; Estuary; Siltation; Ecology; Environmental science; Ecosystem; Biology; Geomorphology","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":[0.00009062221,0.0001379937,0.00009208078,0.0006959192,0.0001158082,0.0002133189,0.0000777234,0.0001045696,0.001013468],"category_scores_gemma":[0.0001916574,0.00006298492,0.0001020253,0.0004519181,0.0001127561,0.0001308173,0.0002160279,0.0001104469,0.0002495759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002141822,"about_ca_system_score_gemma":0.00008470266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00982106,"about_ca_topic_score_gemma":0.02334163,"domain_scores_codex":[0.9999377,0.000006535533,0.000006481915,0.00002154207,0.00001523623,0.00001254319],"domain_scores_gemma":[0.9998479,0.000009828901,0.00006256386,0.000008622921,0.00003753414,0.00003357263],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001416402,0.00003442115,0.9678432,0.00002719081,0.00002778269,0.0001161023,0.0001945804,0.00006282757,0.02038069,0.00003279244,0.0001061796,0.01103265],"study_design_scores_gemma":[7.272251e-7,0.00002521854,0.9995535,8.899931e-7,0.000002215131,0.00005478751,0.00006541142,0.00004233122,0.0001401418,0.00000400804,0.000109869,8.204594e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989226,0.0001194651,0.0001010562,0.000005915753,0.000002677605,0.000005192213,0.0003770095,0.000003800143,0.0004622928],"genre_scores_gemma":[0.9982487,0.00006988258,0.0001920482,0.000009136288,0.000001608769,0.000006765663,0.0007821632,0.000001613931,0.0006881129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00982106,"threshold_uncertainty_score":0.01952779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00958343461114516,"score_gpt":0.1999877085754435,"score_spread":0.1904042739642983,"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."}}