{"id":"W3163003894","doi":"10.1016/j.envres.2021.111324","title":"Recent progress in green and biopolymer based photocatalysts for the abatement of aquatic pollutants","year":2021,"lang":"en","type":"article","venue":"Environmental Research","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":64,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hydro-Québec","funders":"Universidad de Tarapacá","keywords":"Pollutant; Photocatalysis; Biopolymer; Context (archaeology); Biocompatibility; Environmental chemistry; Green chemistry; Nanotechnology; Chemistry; Biochemical engineering; Environmental science; Materials science; Organic chemistry; Catalysis; Polymer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008809487,0.0005410864,0.0004868075,0.0007212043,0.0002130601,0.001075791,0.0004892027,0.0007747695,0.001533308],"category_scores_gemma":[0.0006191768,0.0002554754,0.000380861,0.001211102,0.0004464343,0.0009471916,0.0004389505,0.0008835605,0.0006398972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004901493,"about_ca_system_score_gemma":0.0006693728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007635567,"about_ca_topic_score_gemma":0.00133872,"domain_scores_codex":[0.9997205,0.00003490836,0.00002515432,0.0000850717,0.00009418375,0.00004015346],"domain_scores_gemma":[0.9993617,0.0002415552,0.00009575688,0.00003375665,0.0002084486,0.00005872322],"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":[0.0003400561,0.0002067703,0.0009364645,0.007138804,0.0001059835,0.0002263728,0.0001415575,0.001342852,0.6654263,0.003430992,0.001996494,0.3187075],"study_design_scores_gemma":[0.00002648886,0.0008967387,0.003358926,0.000346373,0.0002659899,0.0008143443,0.0001683175,0.003592612,0.7615472,0.001623246,0.2273046,0.00005498866],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1128442,0.8350545,0.03572209,0.001784875,0.0006367737,0.00004011995,0.0002238704,0.0002219458,0.01347167],"genre_scores_gemma":[0.2480695,0.7135675,0.02727688,0.0007435451,0.0007315038,0.0000386118,0.0005834338,0.0000555713,0.008933417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001533308,"threshold_uncertainty_score":0.005129397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04657031547207612,"score_gpt":0.3612435784221973,"score_spread":0.3146732629501212,"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."}}