{"id":"W7067773886","doi":"","title":"Mercury Concentrations in Crayfish (Orconectes virilis) Tissues from Soft-water Lakes on the Canadian Shield","year":2007,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crayfish; Mercury (programming language); Muscle tissue; Gill; Methylmercury; MERCURE","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001168911,0.0004792954,0.0003265376,0.001413653,0.001622896,0.000783207,0.0003213437,0.0003175303,0.0006235579],"category_scores_gemma":[0.0002978471,0.0004266786,0.0002343556,0.001078475,0.0007119224,0.0002483624,0.0006458216,0.0001957327,0.0001125547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003029734,"about_ca_system_score_gemma":0.001881287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5994834,"about_ca_topic_score_gemma":0.8026944,"domain_scores_codex":[0.9997832,0.000005951613,0.00001010203,0.00006062539,0.00009122473,0.0000489321],"domain_scores_gemma":[0.9997787,0.00001618053,0.0000541577,0.000006635701,0.0001012074,0.00004325733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004782201,0.00002575044,0.7147467,0.0001487193,0.0001068831,0.0003860178,0.003830591,0.0002274963,0.2733739,0.00004873831,0.0001599176,0.006467066],"study_design_scores_gemma":[0.000004134006,0.00004133744,0.9969753,0.000004077187,0.00001964336,0.00005759071,0.0003848589,0.00007035297,0.002205235,0.00000465394,0.0002285998,0.000004296637],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994738,0.00005272378,0.00003147413,0.000004353767,5.099872e-7,0.000004236097,0.000158557,0.000002853743,0.0002715214],"genre_scores_gemma":[0.9975463,0.0001708505,0.0003140453,0.00002906521,0.000001762214,0.00001473492,0.0007308842,0.00000501751,0.001187356],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4005166,"threshold_uncertainty_score":0.8057507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006258335468423432,"score_gpt":0.1693937883697686,"score_spread":0.1631354529013451,"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."}}