{"id":"W2798075379","doi":"","title":"Regional classification using gradients of marine species assemblages: a data-driven approach to modelling marine ecosystems","year":2017,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fisheries and Oceans Canada","keywords":"Marine ecosystem; Ecosystem; Oceanography; Environmental science; Geography; Ecology; Geology; Biology","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":[0.001043351,0.0004381195,0.0005044357,0.0009812911,0.0001911969,0.0007077829,0.000821004,0.000424211,0.0004519431],"category_scores_gemma":[0.002507502,0.0002905124,0.000978855,0.0008781412,0.0003229364,0.0008261179,0.0006041204,0.0005641233,0.0001183407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007927083,"about_ca_system_score_gemma":0.0006071659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198962,"about_ca_topic_score_gemma":0.01566787,"domain_scores_codex":[0.9997532,0.00009217607,0.00001792493,0.00007813093,0.00004218229,0.00001647661],"domain_scores_gemma":[0.9991888,0.0004212193,0.0001331117,0.0000940538,0.0001247773,0.00003784984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004344786,0.00003108463,0.01144194,0.00003860138,0.0001108829,0.00002126688,0.00009225515,0.9518802,0.001944555,0.002341535,0.0002131418,0.03184104],"study_design_scores_gemma":[0.000002763893,0.00001839068,0.003740657,0.0000068319,0.00001247221,0.000008486786,0.00001703311,0.9935179,0.0005297278,0.001791161,0.0003463829,0.000008319907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2343106,0.0002428584,0.7630024,0.0001692698,0.00002031581,0.0001019546,0.0005285762,0.0004231849,0.001200735],"genre_scores_gemma":[0.664461,0.0001936176,0.3338626,0.00003328027,0.00001796125,0.0001527521,0.0005593857,0.00008633504,0.0006331092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01198962,"threshold_uncertainty_score":0.02383965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09024122103784671,"score_gpt":0.2664876495085303,"score_spread":0.1762464284706836,"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."}}