{"id":"W4416409243","doi":"10.1016/j.envpol.2025.127391","title":"In search of an optimal moss transplant biomonitor for airborne microplastics: Moss cubes","year":2025,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Moss; Cube (algebra); Particle (ecology); Microplastics; Particle size","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":[0.001116221,0.0006662221,0.0006249392,0.0004246364,0.0004038639,0.001066877,0.000692419,0.0009082676,0.0007335722],"category_scores_gemma":[0.001324222,0.0003548898,0.0005424354,0.0004163948,0.0002945822,0.001124833,0.000613264,0.0005456767,0.0003910256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004964501,"about_ca_system_score_gemma":0.0006502058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00244831,"about_ca_topic_score_gemma":0.01089636,"domain_scores_codex":[0.9993643,0.0001055533,0.00004903088,0.0001996759,0.0002415597,0.00003983792],"domain_scores_gemma":[0.9993386,0.0001468922,0.0002034084,0.00004614532,0.0002018161,0.00006319589],"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":[0.0004229485,0.00008045997,0.02854289,0.0005932277,0.0001115785,0.0001587785,0.0001561445,0.001568935,0.949989,0.0001088111,0.0001587083,0.01810853],"study_design_scores_gemma":[0.00006943525,0.004173323,0.1470919,0.0002985734,0.000575586,0.001065571,0.0008180906,0.01581534,0.8188601,0.0004978824,0.01063027,0.0001040823],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9656335,0.001960383,0.03032937,0.0001413013,0.00006623201,0.0002947338,0.0006580392,0.0001372245,0.0007793221],"genre_scores_gemma":[0.8748387,0.002601386,0.1188396,0.000382502,0.00003844324,0.000361282,0.001029482,0.00009752569,0.001811135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00244831,"threshold_uncertainty_score":0.005903184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006656660867374722,"score_gpt":0.2317557469176234,"score_spread":0.2250990860502487,"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."}}