{"id":"W4407640373","doi":"10.1016/j.resconrec.2025.108175","title":"Life cycle assessment of turning hydrogen sulfide recovered from sea waters into clean hydrogen","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Industrial Gas Emission Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Hydrogen sulfide; Hydrogen; Environmental science; Waste management; Life-cycle assessment; Environmental chemistry; Oceanography; Engineering; Chemistry; Metallurgy; Materials science; Economics; Geology; Sulfur","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0003862964,0.0001673115,0.0003199835,0.0001641242,0.000131909,0.00005330015,0.0001358363,0.0001830066,0.00003682839],"category_scores_gemma":[0.000323879,0.0001610799,0.0000741404,0.0002220462,0.00004113594,0.0001050494,0.00005487225,0.0002437514,0.000002242772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000745072,"about_ca_system_score_gemma":0.00007106821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005299032,"about_ca_topic_score_gemma":0.00002590477,"domain_scores_codex":[0.9987603,0.0001013093,0.0005398634,0.0002290332,0.0001722852,0.0001971973],"domain_scores_gemma":[0.9991276,0.0003616314,0.0001165589,0.0002044921,0.00005058766,0.000139119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002079713,0.0000567124,0.2423412,0.0003117853,0.000920251,0.000009439963,0.003035465,0.2702526,0.3765816,0.0002838474,0.001912903,0.1040863],"study_design_scores_gemma":[0.002069306,0.00002941857,0.007528382,0.0005986651,0.0001129733,0.000001038866,0.000960222,0.9005355,0.05042495,0.0007553195,0.03663913,0.0003451181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941799,0.0004224247,0.001408047,0.001094976,0.0002198382,0.0002072692,0.00001561384,0.0001647686,0.002287156],"genre_scores_gemma":[0.997739,0.0001102696,0.001299847,0.0004640484,0.0001100447,0.00001100543,0.00004907538,0.00002498766,0.0001916765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6302829,"threshold_uncertainty_score":0.6568649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01234960045617038,"score_gpt":0.2462944877298877,"score_spread":0.2339448872737173,"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."}}