{"id":"W2587974409","doi":"","title":"SeaBioPlas Deliverable 7.1: Environmental Life Cycle Assessment of Plastics from Seaweed : Seaweed from sustainable aquaculture as feedstock for biodegradable bioplastics","year":2015,"lang":"en","type":"article","venue":"Socio-Environmental Systems Modeling","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact","funders":"","keywords":"Bioplastic; Raw material; Deliverable; Life-cycle assessment; Algae; Aquaculture; Environmental science; Waste management; Biotechnology; Pulp and paper industry; Biochemical engineering; Fish <Actinopterygii>; Ecology; Engineering; Biology; Fishery; Production (economics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003211489,0.0004299814,0.0003035875,0.0002862869,0.0001947667,0.0003750862,0.0003213002,0.0004216896,0.002597842],"category_scores_gemma":[0.0002340787,0.0001497551,0.0004884427,0.0002289664,0.000125686,0.0004284099,0.0004056768,0.0003797645,0.0005735797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007791244,"about_ca_system_score_gemma":0.0005855294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003292128,"about_ca_topic_score_gemma":0.004237456,"domain_scores_codex":[0.9998028,0.00001320421,0.000008106657,0.00002465091,0.0001319844,0.00001934963],"domain_scores_gemma":[0.9999207,0.00001483154,0.00001588545,0.00000602463,0.00003192343,0.00001059972],"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":[0.0004557521,0.0001178377,0.00166102,0.0003733909,0.00003431477,0.0001806376,0.00007729715,0.02504154,0.9516994,0.0007205482,0.0006194757,0.01901892],"study_design_scores_gemma":[0.00001193537,0.0005370752,0.001651716,0.00002191615,0.00003388425,0.00004281761,0.00003948495,0.02082746,0.9721644,0.0001592851,0.004492598,0.00001747255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707627,0.0008026063,0.01720511,0.00009494004,0.00002914807,0.0001339403,0.002937555,0.0002393873,0.007794544],"genre_scores_gemma":[0.9689174,0.001822084,0.01266789,0.00009020593,0.000006385024,0.0002183564,0.002987847,0.0001209578,0.01316881],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003292128,"threshold_uncertainty_score":0.008690655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01567115334465304,"score_gpt":0.2231414543772444,"score_spread":0.2074703010325914,"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."}}