{"id":"W4399104061","doi":"10.1002/cssc.202400421","title":"Titanium Carbide (Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>) MXene for Sequestration of Aquatic Pollutants","year":2024,"lang":"en","type":"review","venue":"ChemSusChem","topic":"MXene and MAX Phase Materials","field":"Materials Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"","keywords":"MXenes; Nanotechnology; Titanium carbide; Pollutant; Nanomaterials; Photocatalysis; Context (archaeology); Materials science; Carbide; Biochemical engineering; Environmental science; Catalysis; Chemistry; Engineering; Organic chemistry; Geology","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":[0.00009703643,0.0002974836,0.0001876048,0.0002215072,0.0001512173,0.0003599293,0.0002114928,0.0004153677,0.002654579],"category_scores_gemma":[0.00007235797,0.0001151534,0.0001597908,0.0002110136,0.0001524812,0.0004340849,0.0002654552,0.0004768607,0.0007437288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003403526,"about_ca_system_score_gemma":0.0002143866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004169031,"about_ca_topic_score_gemma":0.0009049446,"domain_scores_codex":[0.9999448,0.000005336728,0.000002603376,0.00001483937,0.0000237427,0.000008656098],"domain_scores_gemma":[0.9999807,0.000004738013,0.000005259563,0.000001785971,0.000005095197,0.000002464417],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001244997,0.00005965875,0.0001971883,0.002210998,0.00003734168,0.0002314794,0.00007020032,0.00165244,0.9040124,0.02450239,0.005642985,0.06125839],"study_design_scores_gemma":[0.00002144547,0.0003086145,0.0007321843,0.0001325309,0.0000385381,0.0003267894,0.00005288811,0.006546109,0.8409039,0.002317607,0.1485896,0.00002996205],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.3795131,0.3787799,0.09036084,0.003446602,0.002262486,0.000332794,0.001112298,0.001642652,0.1425493],"genre_scores_gemma":[0.8234016,0.1045835,0.02109578,0.0007955721,0.0002372555,0.0002019818,0.0005737482,0.0001375911,0.04897298],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.002654579,"threshold_uncertainty_score":0.008880436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0535223142850208,"score_gpt":0.3207314875898752,"score_spread":0.2672091733048544,"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."}}