{"id":"W7117682399","doi":"10.47981/j.mijst.13(02)2025.536(27-38)","title":"Agar from Red Algae (Gracilaria tenuistipitata) as a Valuable Biopolymer: Extraction and Characterization","year":2025,"lang":"","type":"article","venue":"MIST INTERNATIONAL JOURNAL OF SCIENCE AND TECHNOLOGY","topic":"Seaweed-derived Bioactive Compounds","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Agar; Extraction (chemistry); Algae; Yield (engineering); Biopolymer; Red algae","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008124575,0.0002132551,0.0003051553,0.000582786,0.0005506394,0.0004879445,0.0009907082,0.0002601473,0.0001888192],"category_scores_gemma":[0.001018094,0.0001219149,0.00005803289,0.001482983,0.002818087,0.0008484026,0.0003848579,0.0003927659,0.000006663692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002086039,"about_ca_system_score_gemma":0.0002670777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003354499,"about_ca_topic_score_gemma":0.00003503944,"domain_scores_codex":[0.9977579,0.00005157623,0.0006307811,0.0005144729,0.0007479097,0.0002973628],"domain_scores_gemma":[0.9967504,0.0001572743,0.0007135003,0.00009190459,0.002158955,0.0001279476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001381453,0.0001105815,0.009125243,0.000002754896,0.00008097194,0.00003121702,0.00006000323,9.836217e-8,0.8077673,0.002264867,0.0000958382,0.1803229],"study_design_scores_gemma":[0.001702113,0.001390392,0.4598539,0.0005934044,0.0002021646,0.0009271767,0.004067221,0.001092468,0.40471,0.03774931,0.08712257,0.0005893563],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9525218,0.001383859,0.0002036087,0.04271756,0.002117882,0.0001263913,0.00006100837,0.000024238,0.0008436607],"genre_scores_gemma":[0.9962786,0.001983556,0.0004711596,0.0004578563,0.0002990608,0.000003367651,0.00002082221,0.00000173208,0.0004838888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4507286,"threshold_uncertainty_score":0.9998957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009000811858718923,"score_gpt":0.2688140701966032,"score_spread":0.2598132583378843,"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."}}