{"id":"W2575127439","doi":"","title":"Mass mortality events of echinoderms: Global patterns and local consequences","year":2016,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geography; Oceanography; Biology; Economic geography; Geology","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":[0.0002297622,0.0001648036,0.0001432455,0.0008865555,0.0001873851,0.0005673763,0.00009329108,0.0001504665,0.001451456],"category_scores_gemma":[0.000321412,0.00004871974,0.0001629095,0.00139458,0.0001960764,0.0004984356,0.0006027446,0.0002348638,0.0001772538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002870576,"about_ca_system_score_gemma":0.000173736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002532426,"about_ca_topic_score_gemma":0.007920443,"domain_scores_codex":[0.9999232,0.00001029328,0.000007115929,0.00002470493,0.00001840669,0.00001619954],"domain_scores_gemma":[0.9997029,0.00003478591,0.0001509689,0.0000135935,0.00006341825,0.00003436721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007395235,0.00002476732,0.865968,0.0002847209,0.0001174339,0.0002317359,0.002133425,0.0005428544,0.003875202,0.0005208495,0.001486053,0.124741],"study_design_scores_gemma":[8.811895e-7,0.00003819904,0.9957848,0.0000642284,0.00001948718,0.0001131937,0.001138475,0.00007818105,0.0002604532,0.0001365887,0.002361867,0.000003434636],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834601,0.007095804,0.0003134964,0.0005999843,0.00001999274,0.00001364482,0.0008967422,0.00001742724,0.007582747],"genre_scores_gemma":[0.9869028,0.01048329,0.0002934939,0.00009746601,0.00003692868,0.000008045801,0.0006817913,0.000005694423,0.001490447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002532426,"threshold_uncertainty_score":0.005035341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01049380743966834,"score_gpt":0.2340652722964315,"score_spread":0.2235714648567631,"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."}}