{"id":"W125636571","doi":"","title":"The effects of food quality and abiotic habitat parameters on metal uptake in the blue mussel, mytilus trossulus","year":2005,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Basic Energy Sciences; Natural Sciences and Engineering Research Council of Canada; Simon Fraser University; Office of Science; Health Canada; Thailand Science Research and Innovation; U.S. Department of Energy","keywords":"Abiotic component; Bioaccumulation; Salinity; Mussel; Detritivore; Ecosystem engineer; Ecology; Aquatic ecosystem; Estuary; Intertidal zone; Food web; Environmental science; Environmental chemistry; Blue mussel; Ecosystem; Habitat; Sediment; Phytoplankton; Bay; Extremophile; Biology; Oceanography; Chemistry; Microorganism; Geology; Bacteria","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":[0.0003236004,0.0002364663,0.0003069162,0.0001449496,0.0002854698,0.0000511971,0.0004571432,0.0001570384,0.00005603373],"category_scores_gemma":[0.0001093871,0.0001593316,0.0001809551,0.0005098263,0.0001326541,0.0001142155,0.00001055202,0.0003183993,0.00001292303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001512867,"about_ca_system_score_gemma":0.00003861063,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001188396,"about_ca_topic_score_gemma":0.5352063,"domain_scores_codex":[0.9985722,0.00024423,0.0002434179,0.0003344789,0.0003327984,0.0002728947],"domain_scores_gemma":[0.9985426,0.0008615824,0.0002100989,0.0002815507,0.00003118339,0.00007296762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001810561,0.0003491957,0.921101,0.001131894,0.001125762,0.0002031301,0.001395988,0.001642252,0.00006730483,0.0004371917,0.001871419,0.06886426],"study_design_scores_gemma":[0.002357678,0.001398926,0.7820613,0.000262991,0.00125925,5.896422e-8,0.1825534,0.0004827475,0.01043207,0.000523755,0.0177502,0.0009176572],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949775,0.0006766901,5.331484e-7,0.0001542591,0.00015842,0.0002327419,0.00009587014,0.000009594013,0.003694349],"genre_scores_gemma":[0.997794,0.0003132749,0.00001333991,0.00008193706,0.00002214672,3.735208e-7,0.0005968682,0.000003294328,0.001174704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5340179,"threshold_uncertainty_score":0.6497356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071239073611986,"score_gpt":0.208623823040788,"score_spread":0.1979114323046682,"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."}}