{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003180498,0.0003437882,0.0003532442,0.0001177631,0.0003021012,0.0001443621,0.0005000966,0.0004067589,0.009852137],"category_scores_gemma":[0.0002346162,0.0003544594,0.00008228396,0.0002520095,0.0003999708,0.00017668,0.001455482,0.0007027772,0.0005747084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003389728,"about_ca_system_score_gemma":0.00006802888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002477329,"about_ca_topic_score_gemma":0.03361673,"domain_scores_codex":[0.9948534,0.003004597,0.0005505932,0.0008539057,0.0003560728,0.0003813731],"domain_scores_gemma":[0.9980341,0.000355144,0.0003460811,0.0009806553,0.0001292121,0.0001548343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009663551,0.003266161,0.7879319,0.0002595936,0.000139707,0.00006479632,0.006881563,0.0002415888,0.02871427,0.1114981,0.01662987,0.04427588],"study_design_scores_gemma":[0.002530959,0.00000356907,0.6565173,0.0006067502,0.0002056795,0.00006073098,0.0002804617,0.2002067,0.01897073,0.113461,0.005644757,0.001511281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9370803,0.00007735979,0.02324463,0.004159105,0.0004246374,0.0008204263,0.00006328333,0.0001138428,0.03401643],"genre_scores_gemma":[0.9784579,0.000141251,0.0109527,0.000428283,0.00001105185,0.0001901772,0.0008896522,0.00003882257,0.008890145],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1999651,"threshold_uncertainty_score":0.9998907,"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."}}