{"id":"W2066743033","doi":"10.1155/2015/728753","title":"Relating Ctenophore Population to Water Mass Indices in the Northeast U.S. Continental Shelf Ecosystem","year":2015,"lang":"en","type":"article","venue":"International Journal of Oceanography","topic":"Marine Invertebrate Physiology and Ecology","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Northeast Fisheries Science Center","keywords":"Subarctic climate; Continental shelf; Oceanography; Population; Water mass; Ecosystem; North Atlantic oscillation; Ecology; Fishery; Biology; Geology; Demography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003410873,0.0001037016,0.00008811644,0.0003716518,0.0001924114,0.0003751121,0.0001572072,0.0001839787,0.0005806485],"category_scores_gemma":[0.001161515,0.00009840381,0.000209518,0.0003543526,0.0001661788,0.0003424885,0.0002957346,0.0002183647,0.0000580767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004666794,"about_ca_system_score_gemma":0.0002925999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06972154,"about_ca_topic_score_gemma":0.1453804,"domain_scores_codex":[0.9999477,0.00001191405,0.00000587151,0.00001865676,0.000006418387,0.000009468644],"domain_scores_gemma":[0.9995969,0.0001315508,0.0001222421,0.00003301061,0.0000529952,0.00006322778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000105744,0.000006375047,0.9978893,0.000002371681,0.00001498337,0.00001424643,0.00004439125,0.0007720825,0.0002205785,0.00002506752,0.00002759724,0.0009724179],"study_design_scores_gemma":[7.846169e-7,0.00001119817,0.9961327,0.000003368587,0.000007002798,0.0000184382,0.0001163844,0.003559163,0.00004802789,0.00003996718,0.00006140929,0.000001554715],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999697,0.00002701297,0.00006503749,0.0000160562,7.999809e-7,8.058109e-7,0.00007767179,0.000001738783,0.0001139678],"genre_scores_gemma":[0.9995833,0.00004805997,0.00009473082,0.000009324503,8.853357e-7,0.000001560519,0.0001796307,6.114741e-7,0.00008194181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06972154,"threshold_uncertainty_score":0.1386315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444006240678774,"score_gpt":0.2259514606634173,"score_spread":0.2115113982566296,"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."}}