{"id":"W2765297326","doi":"","title":"Comparative study of growth in Manila clam under different environmental conditions of submarine groundwater discharge","year":2016,"lang":"en","type":"article","venue":"Japan Geoscience Union","topic":"Water Quality Monitoring Technologies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Marine Biosciences","funders":"","keywords":"Submarine groundwater discharge; Submarine; Groundwater; Environmental science; Oceanography; Hydrology (agriculture); Geology; Geotechnical engineering; Aquifer","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":[0.00008097984,0.0002480061,0.0002084017,0.0007622441,0.0003511996,0.0002364875,0.0002063752,0.0002038244,0.0006628493],"category_scores_gemma":[0.0001290662,0.0001173175,0.0002784365,0.000399243,0.0001558731,0.000164268,0.0002657074,0.00018034,0.0001589931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929148,"about_ca_system_score_gemma":0.0002943195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01216097,"about_ca_topic_score_gemma":0.01731358,"domain_scores_codex":[0.9999441,0.000004204476,0.000002604973,0.00001891283,0.00001146732,0.00001869644],"domain_scores_gemma":[0.9998884,0.00001627976,0.00001927305,0.00000482416,0.00003572161,0.0000353489],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001468898,0.0001108682,0.1926866,0.00008895606,0.00004413095,0.0006279389,0.001218081,0.001054244,0.788808,0.0002934369,0.0001638432,0.01343501],"study_design_scores_gemma":[0.000007091812,0.0004645981,0.9631937,0.000006588707,0.00002366958,0.0002291837,0.0009797299,0.001608624,0.03223501,0.00005524081,0.00118474,0.00001178388],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991352,0.00006721181,0.00004148943,0.000005001133,0.000001116408,0.00000147512,0.00009421419,0.000002178396,0.0006522795],"genre_scores_gemma":[0.9984758,0.0000611985,0.00009554344,0.000006900252,0.000001606176,0.000005122876,0.0001833779,0.000002204746,0.001168216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01216097,"threshold_uncertainty_score":0.02418035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02868572663955118,"score_gpt":0.2629674531259639,"score_spread":0.2342817264864127,"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."}}