{"id":"W2995702596","doi":"10.1111/ddi.13013","title":"Seafloor biodiversity of Canada's three oceans: Patterns, hotspots and potential drivers","year":2019,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University; Bedford Institute of Oceanography; Memorial University of Newfoundland; Université Laval; Fisheries and Oceans Canada; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Benthic zone; Oceanography; Arctic; Environmental science; Biodiversity; Ecology; Species diversity; Intertidal zone; Geography; Geology; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001001014,0.00005843097,0.0001018717,0.00002900595,0.0007805144,0.000006786142,0.0001042568,0.00006506877,0.001497191],"category_scores_gemma":[0.00001453106,0.000054714,0.00002042706,0.00006028476,0.0001576179,0.0000807973,0.000214973,0.0000884242,0.00001506599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006289449,"about_ca_system_score_gemma":0.00006627053,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2959281,"about_ca_topic_score_gemma":0.4638602,"domain_scores_codex":[0.9994897,0.00002826785,0.00005257065,0.0001523412,0.00009501287,0.0001821385],"domain_scores_gemma":[0.9997091,0.00004834781,0.00002669968,0.00006977118,0.00003638486,0.0001097359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003950069,0.00000807179,0.9986526,0.00001425097,0.00002518247,0.00001169068,0.00003033406,0.00001099571,0.000001699222,0.00008936265,0.0007092792,0.0004070633],"study_design_scores_gemma":[0.0002858904,0.00005645493,0.998737,0.00000210096,0.00001856378,0.000005415313,0.0002728076,0.0002212154,0.000005623233,0.0001013491,0.0002301821,0.00006335556],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967119,0.00005198914,0.0000235685,0.0003462444,0.0001102279,0.00008123906,0.00224946,0.000006425754,0.0004190149],"genre_scores_gemma":[0.9994503,0.0000780956,0.000005820168,0.00004418714,0.000006336681,4.445551e-8,0.0003343979,2.146845e-7,0.00008064196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1679321,"threshold_uncertainty_score":0.9994156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008856953173322142,"score_gpt":0.16947684006601,"score_spread":0.1606198868926879,"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."}}