{"id":"W4396889561","doi":"10.1021/acssusresmgt.4c00019","title":"Green Alginate Extraction from <i>Macrocystis pyrifera</i> for Bioplastic Applications: Physicochemical, Environmental Impact, and Chemical Hazard Analyses","year":2024,"lang":"en","type":"article","venue":"ACS Sustainable Resource Management","topic":"biodegradable polymer synthesis and properties","field":"Materials Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Foundation for Innovation; British Columbia Knowledge Development Fund; University of Victoria","keywords":"Bioplastic; Macrocystis pyrifera; Extraction (chemistry); Environmental hazard; Chemistry; Environmental science; Environmental chemistry; Pulp and paper industry; Waste management; Biology; Engineering; Botany; Kelp; Chromatography; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002576984,0.0004524497,0.0002675974,0.0002282393,0.0002015163,0.0004539644,0.0001177892,0.0002472074,0.0003751542],"category_scores_gemma":[0.0002257575,0.0001533891,0.0003233902,0.0002273735,0.0001745125,0.0003325041,0.0002476566,0.0002858134,0.0001347412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002823413,"about_ca_system_score_gemma":0.000241699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009983515,"about_ca_topic_score_gemma":0.002311648,"domain_scores_codex":[0.9998092,0.00002528518,0.00002466939,0.00003582153,0.00007926795,0.00002580787],"domain_scores_gemma":[0.9998307,0.00002823591,0.00007406255,0.00001308207,0.00003425321,0.00001975836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00000911191,0.000003709729,0.0001558886,0.0000243782,0.000001793638,0.00001335394,0.000007311919,0.00003061683,0.999191,0.000004063867,0.000002990858,0.000555903],"study_design_scores_gemma":[0.000001114844,0.00008128116,0.004545981,0.000005850675,0.00001012887,0.00006892876,0.00002017464,0.0002852637,0.9945964,0.000007973675,0.000372615,0.000004474657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916011,0.0009563643,0.00629145,0.00003831883,0.000008984492,0.00004483507,0.0002700916,0.00004192364,0.0007469252],"genre_scores_gemma":[0.9848794,0.00137788,0.0114127,0.0000499073,0.000005236981,0.00003717538,0.0004643842,0.00003365737,0.001739591],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009983515,"threshold_uncertainty_score":0.002048612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434634908477469,"score_gpt":0.271881606931853,"score_spread":0.2575352578470783,"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."}}