{"id":"W6944018675","doi":"10.17632/wsf3n6j2w6","title":"Online supplementary material for: Clements JC, Comeau LA. 2019. Nitrogen removal potential of shellfish aquaculture harvests in eastern Canada: a comparison of culture methods . Aquaculture Reports.","year":2019,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Shellfish; Aquaculture; Raw material; Nitrogen; Statistical analysis","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":[0.001788414,0.001642296,0.001398397,0.00395987,0.001448908,0.002787421,0.002952277,0.001411469,0.1600662],"category_scores_gemma":[0.01126948,0.0009020345,0.001346898,0.006270134,0.0005776891,0.001098735,0.002240734,0.00164084,0.07602381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004678826,"about_ca_system_score_gemma":0.01052635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4237604,"about_ca_topic_score_gemma":0.5936466,"domain_scores_codex":[0.9990513,0.00008804042,0.0001316722,0.0002263217,0.0002453002,0.0002573572],"domain_scores_gemma":[0.9941398,0.001538325,0.000446692,0.0008568544,0.002456373,0.0005619726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006472172,0.00001397189,0.001372051,0.00107795,0.00005411164,0.0000159238,0.00003562467,0.0002090052,0.0001122326,0.0003781627,0.9946544,0.0020119],"study_design_scores_gemma":[0.0003977759,0.00001631994,0.01255775,0.001053027,0.00009454355,0.00004568345,0.0001300149,0.0002544359,0.000354471,0.001219627,0.9838113,0.0000650407],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005121051,0.00002902129,0.00002940624,0.00002401491,0.00001472903,0.000006579194,0.9995333,0.0001043538,0.0002074445],"genre_scores_gemma":[0.0003953706,0.0000462065,0.0003359952,0.00003611927,0.000005388963,0.00007881458,0.99837,0.00009568887,0.0006364216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5762396,"threshold_uncertainty_score":0.8425876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06152518982220756,"score_gpt":0.3881567641693432,"score_spread":0.3266315743471356,"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."}}