{"id":"W1981609233","doi":"10.1080/09593330.2013.803132","title":"Gamma irradiation: a method to produce an abiotic control for biological activated carbon","year":2013,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Heterotroph; Adsorption; Activated carbon; Biofilm; Methylene blue; Chemistry; Abiotic component; Irradiation; Powdered activated carbon treatment; Kinetics; Carbon fibers; Nuclear chemistry; Environmental chemistry; Bacteria; Materials science; Organic chemistry; Biology; Ecology; Photocatalysis; Catalysis; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001610218,0.0001820723,0.0001884938,0.00008010851,0.000108069,0.00001543997,0.0002421032,0.0002362171,0.001327514],"category_scores_gemma":[0.00007252984,0.0001582605,0.00003465518,0.0001687888,0.0001794392,0.00008432289,0.0001122884,0.0001351708,0.0006145196],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002342711,"about_ca_system_score_gemma":0.000004143612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007237031,"about_ca_topic_score_gemma":0.00000751358,"domain_scores_codex":[0.998696,0.00005634288,0.0002067034,0.0005283256,0.0001139439,0.0003986907],"domain_scores_gemma":[0.9994249,0.00007844158,0.00007304768,0.0002857594,0.000001976456,0.0001358115],"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":[0.00003042853,0.0001355909,0.008617464,0.000001364155,0.00001060846,0.000001173778,0.00005233202,0.0003658159,0.9621855,0.0001132389,0.0002014766,0.02828498],"study_design_scores_gemma":[0.002931718,0.003814066,0.3664661,0.00001440262,0.00007176095,0.0001150802,0.0003583706,0.03930898,0.5404775,0.008962041,0.03626437,0.001215555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711218,0.00001397731,0.02589467,0.001399503,0.0001007303,0.001150922,0.00004196683,0.0001111941,0.0001651902],"genre_scores_gemma":[0.9787142,0.000003513159,0.02049199,0.0002971842,0.00004467758,0.0002715818,0.00002283386,0.00001745138,0.0001366286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.421708,"threshold_uncertainty_score":0.9995854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007976536426459822,"score_gpt":0.2194585287298816,"score_spread":0.2114819923034217,"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."}}