{"id":"W3202648986","doi":"10.3389/fmars.2021.701218","title":"Life in the Fast Lane: Modeling the Fate of Glass Sponge Larvae in the Gulf Stream","year":2021,"lang":"en","type":"article","venue":"Frontiers in Marine Science","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Horizon 2020; Fisheries and Oceans Canada; Executive Agency for Small and Medium-sized Enterprises; Horizon 2020 Framework Programme","keywords":"Pelagic zone; Biological dispersal; Oceanography; Cape; Population; Gulf Stream; Geography; Barrier island; Geology; Fishery; Shore; Archaeology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000311813,0.0006407208,0.0003598131,0.0005411155,0.0007178464,0.0009104555,0.0008938893,0.001376377,0.002480235],"category_scores_gemma":[0.00106978,0.0004793655,0.000849132,0.0003661769,0.0006779553,0.0005291888,0.0007144671,0.0006956977,0.0002075607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992787,"about_ca_system_score_gemma":0.0013469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1309798,"about_ca_topic_score_gemma":0.08607695,"domain_scores_codex":[0.9999442,0.00001596342,0.000002870232,0.00001151536,0.00000620969,0.00001929868],"domain_scores_gemma":[0.9995413,0.0002253904,0.00007631692,0.00001294304,0.00004497086,0.00009920104],"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":[0.00008562169,0.00006137158,0.03524687,0.00001417988,0.00002355457,0.0001957796,0.00006638218,0.9620337,0.0003584839,0.0006841897,0.0002748203,0.0009550014],"study_design_scores_gemma":[0.00002431844,0.00003332633,0.002900811,0.000004948711,0.00001187659,0.00001785221,0.00007171881,0.9965779,0.0000565178,0.0001972174,0.00009761211,0.000005913727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970738,0.00005099527,0.0009448655,0.0001388525,0.000008591807,0.00001334098,0.0003002274,0.00002618316,0.001443255],"genre_scores_gemma":[0.9970015,0.00007924499,0.0009193583,0.00004283737,0.000006272062,0.00002631732,0.0002675202,0.00001440451,0.001642541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1309798,"threshold_uncertainty_score":0.2604349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009754541191877616,"score_gpt":0.2383288785687871,"score_spread":0.2285743373769095,"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."}}