{"id":"W4392728640","doi":"10.1111/ddi.13824","title":"Quantifying the effects of fragmentation of connectivity networks of deep‐sea vulnerable marine ecosystems","year":2024,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Biological dispersal; Ecology; Habitat; Marine ecosystem; Ecosystem; Geography; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001797822,0.00004928158,0.0001158269,0.00001179824,0.0004142967,0.000005366589,0.00005865948,0.00002168446,0.00007104823],"category_scores_gemma":[0.0000532427,0.00003624231,0.0000445814,0.000159819,0.0001071861,0.00008807317,0.0007870513,0.0000550373,0.000001937099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003045724,"about_ca_system_score_gemma":0.000002327249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005247163,"about_ca_topic_score_gemma":0.002180567,"domain_scores_codex":[0.9995871,0.00005134838,0.0001035075,0.00009393258,0.00009048094,0.00007363015],"domain_scores_gemma":[0.9995534,0.0002913193,0.00005397906,0.00006942896,0.00001269846,0.00001910319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001174842,0.00006042475,0.9907804,0.0003774507,0.00005613731,0.000001596485,0.0004911777,0.0002462905,0.0007641738,0.003869433,0.0004451306,0.002896093],"study_design_scores_gemma":[0.0002083217,0.00009091691,0.9787213,0.00007452883,0.000113947,0.000002042791,0.000410024,0.01758575,0.001875787,0.0004795081,0.0003675597,0.00007033309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921557,0.0002659441,0.006585522,0.00005233283,0.0001817866,0.0001436959,0.00007610317,0.000009614787,0.0005293148],"genre_scores_gemma":[0.9998218,0.0000953801,0.00001092458,0.00000223257,0.000008432641,0.000003292505,0.00002483536,0.000001063922,0.00003205613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01733946,"threshold_uncertainty_score":0.7932175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294292264979567,"score_gpt":0.2184818833615216,"score_spread":0.2055389607117259,"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."}}