{"id":"W4390461041","doi":"10.1007/s11027-023-10094-1","title":"Can green hydrogen production be used to mitigate ocean deoxygenation? A scenario from the Gulf of St. Lawrence","year":2023,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Dalhousie University","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Biodiversity; Marine ecosystem; Climate change; Environmental science; Eutrophication; Global warming; Hypoxia (environmental); Ecosystem; Deoxygenation; Oceanography; Natural resource economics; Ocean observations; Environmental protection; Environmental resource management; Ecology; Nutrient; Biology; Oxygen","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":[0.0006469387,0.0003565594,0.000245715,0.0005162951,0.002781565,0.002326709,0.0009294057,0.002285804,0.002146424],"category_scores_gemma":[0.0008085746,0.000130936,0.0004488116,0.0005585423,0.001351322,0.001462453,0.00207552,0.00150411,0.0002711156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0120578,"about_ca_system_score_gemma":0.01060151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7031296,"about_ca_topic_score_gemma":0.7812778,"domain_scores_codex":[0.9996932,0.00005572918,0.000007370757,0.00002392744,0.00007514494,0.0001446465],"domain_scores_gemma":[0.9994645,0.00003777999,0.00004285495,0.00001757902,0.000278677,0.0001586744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001855768,0.001012283,0.2162853,0.001590624,0.0003533644,0.0498071,0.006974962,0.06489778,0.04178,0.2744131,0.2171784,0.1238513],"study_design_scores_gemma":[0.000434996,0.00115297,0.1152928,0.001485069,0.0003489905,0.002191029,0.06600282,0.05770442,0.01892492,0.0909806,0.6448644,0.0006170335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6617313,0.004459186,0.002241427,0.2119997,0.0009219329,0.00008590594,0.0019631,0.0001730685,0.1164244],"genre_scores_gemma":[0.9806463,0.003166496,0.001477557,0.005851326,0.00005522988,0.00001930277,0.000322274,0.0000154286,0.008446123],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2968704,"threshold_uncertainty_score":0.5972375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06734399818557549,"score_gpt":0.2536592696371033,"score_spread":0.1863152714515278,"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."}}