{"id":"W4399326228","doi":"10.1007/s13399-024-05787-9","title":"Optimization of methylene blue removal by H3PO4 thermochemically treated mixed pineapple peel and algae adsorbent and insight on the adsorption mechanism","year":2024,"lang":"en","type":"article","venue":"Biomass Conversion and Biorefinery","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Adsorption; Methylene blue; Chemistry; Chemical engineering; Algae; Nuclear chemistry; Organic chemistry; Botany; Catalysis; Biology","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":[0.000235061,0.0002058304,0.0001689605,0.00008265366,0.00009614492,0.00005533412,0.00008271166,0.000157855,0.0005550362],"category_scores_gemma":[0.00001650773,0.0001270321,0.00005497708,0.0002649796,0.0002950701,0.0001118953,0.0001352296,0.00009482665,0.0000235646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004123512,"about_ca_system_score_gemma":0.000007672075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009508133,"about_ca_topic_score_gemma":0.000005070461,"domain_scores_codex":[0.9988521,0.00007972208,0.0002370275,0.0004024674,0.0002682116,0.0001604998],"domain_scores_gemma":[0.9995825,0.00006775176,0.00008545687,0.0001401389,0.00001232119,0.0001118697],"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":[0.00009348262,0.0000479836,0.00013531,0.00002399254,0.0000239407,0.000004933177,0.00009132773,0.000003902984,0.9913968,0.0008532397,0.00321486,0.004110177],"study_design_scores_gemma":[0.001145565,0.0004052304,0.001908028,0.00008905552,0.00009818404,0.0001143062,0.0002669111,0.05389351,0.9111788,0.0001775855,0.03028502,0.0004378507],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957448,0.0005863337,0.0007481637,0.00196535,0.0001141428,0.0002296528,0.00007162178,0.00007382222,0.0004661393],"genre_scores_gemma":[0.9973232,0.001132461,0.0004186922,0.0002640621,0.00002074168,0.000005262547,0.00006593375,0.00001546544,0.0007541666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08021809,"threshold_uncertainty_score":0.6077257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009171637741266149,"score_gpt":0.1978216146543574,"score_spread":0.1886499769130912,"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."}}