{"id":"W150509243","doi":"","title":"MACRO-INVERTEBRATE FUNCTIONAL GROUPS IN FRESHWATER AND MARINE SEDIMENTS: A COMMON MECHANISTIC CLASSIFICATION","year":2003,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":143,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Invertebrate; Marine invertebrates; Macro; Ecology; Oceanography; Environmental science; Biology; Geology; Computer science","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":[0.0009319963,0.0004198914,0.0005880099,0.002834071,0.0008461577,0.0016443,0.0006091398,0.0006224144,0.004119197],"category_scores_gemma":[0.001580004,0.0001582586,0.0008840291,0.001202889,0.001374473,0.001124925,0.001535544,0.0004982682,0.0007075524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005253782,"about_ca_system_score_gemma":0.000776563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002182432,"about_ca_topic_score_gemma":0.003390196,"domain_scores_codex":[0.9996389,0.00009439294,0.00003789655,0.00008008519,0.00007850266,0.00007012588],"domain_scores_gemma":[0.999144,0.0002274616,0.0001608266,0.0001013544,0.0002325189,0.0001339009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008714377,0.000407787,0.5180343,0.001168558,0.0002487841,0.0005682224,0.007892927,0.004499245,0.06817681,0.1150408,0.004579383,0.2785118],"study_design_scores_gemma":[0.00003400099,0.0005237987,0.86852,0.0003020694,0.0002047419,0.001076515,0.006322887,0.01944614,0.003022454,0.08729304,0.01317738,0.0000769438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9153919,0.002798379,0.05708807,0.0009470455,0.00006909594,0.00026851,0.001402406,0.0002112111,0.0218234],"genre_scores_gemma":[0.9777479,0.001242446,0.01627751,0.0001101746,0.00004827635,0.0001181607,0.0008346376,0.0000365258,0.003584393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004119197,"threshold_uncertainty_score":0.01378006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01554530284617223,"score_gpt":0.2123216281832781,"score_spread":0.1967763253371058,"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."}}