{"id":"W6989954923","doi":"","title":"Community and ecosystem-level interactions between mussel beds and their associated organisms","year":2010,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Mussel; Ecosystem; Abiotic component; Ecosystem engineer; Community structure; Nutrient; Ecosystem ecology; Community","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005257154,0.0002699724,0.0002267578,0.0004143572,0.0004732296,0.001100266,0.0004152459,0.0004617506,0.0013782],"category_scores_gemma":[0.001222714,0.0002054401,0.0004653341,0.0002446941,0.0004464707,0.0007140739,0.001119628,0.0002557742,0.000224105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007364433,"about_ca_system_score_gemma":0.0006060572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008969571,"about_ca_topic_score_gemma":0.01723401,"domain_scores_codex":[0.9996887,0.0001326292,0.00002084866,0.00006606177,0.00003606296,0.00005562407],"domain_scores_gemma":[0.9994574,0.0001573831,0.0001572325,0.00004063941,0.00009046496,0.00009681068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001477323,0.0002778691,0.7765446,0.0003296207,0.0008089008,0.000647217,0.0007984726,0.1420032,0.05117694,0.004789563,0.0005246526,0.02195126],"study_design_scores_gemma":[0.0000366421,0.0004924025,0.6970699,0.00007808583,0.0003623501,0.000593658,0.001591409,0.2857561,0.004084448,0.005590547,0.004255462,0.00008897769],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947523,0.0001737407,0.003537794,0.00005470132,0.000006283208,0.00001114371,0.0001232459,0.00002655551,0.001314205],"genre_scores_gemma":[0.9979558,0.0001020057,0.001349011,0.00001846499,0.000002904536,0.00001121851,0.00005653768,0.00000454604,0.0004994854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008969571,"threshold_uncertainty_score":0.01783472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.026461748156745,"score_gpt":0.2440515894304698,"score_spread":0.2175898412737248,"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."}}