{"id":"W4411617877","doi":"10.51847/lcqlumk","title":"10.51847/LcQlUMK","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Adsorption and biosorption for pollutant removal","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanoparticle; Chemistry; Environmental chemistry; Nuclear chemistry; Chemical engineering; Nanotechnology; Materials science; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004201969,0.0009431765,0.0005696733,0.00275473,0.001279929,0.003199376,0.001117172,0.002160534,0.8829132],"category_scores_gemma":[0.0008152502,0.0003589282,0.0005889609,0.0017705,0.0006100269,0.001675087,0.002060167,0.001088852,0.8909777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00146474,"about_ca_system_score_gemma":0.000640678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002864699,"about_ca_topic_score_gemma":0.002465505,"domain_scores_codex":[0.9996123,0.00003806749,0.00003005046,0.00009422988,0.0001411573,0.00008426718],"domain_scores_gemma":[0.9991835,0.0001281915,0.00004520544,0.000170781,0.0003197231,0.0001525406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004079399,0.0004269416,0.001912237,0.0003123369,0.00003100049,0.000360586,0.0001114345,0.0008389076,0.01673171,0.008068418,0.1636644,0.807134],"study_design_scores_gemma":[0.00008176229,0.0001091609,0.002546091,0.000170585,0.00001754118,0.000811721,0.0001241395,0.002296213,0.005670648,0.002550681,0.9855854,0.00003595588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006831211,0.001531897,0.01075824,0.001372305,0.001114315,0.0001398341,0.002044516,0.007290897,0.9689168],"genre_scores_gemma":[0.01749709,0.0004232937,0.005160025,0.0006196292,0.0001584207,0.00008658977,0.002081811,0.0004698765,0.9735033],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1170868,"threshold_uncertainty_score":0.16701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005051259939354019,"score_gpt":0.1716108706688266,"score_spread":0.1665596107294726,"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."}}