{"id":"W4402679284","doi":"10.1007/978-981-97-6461-7_11","title":"Advancements in Microplastic Removal Techniques and Sustainable Solutions for Plastic Reduction","year":2024,"lang":"en","type":"book-chapter","venue":"Microplastics","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Reduction (mathematics); Environmental science; Environmental planning; Business; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003523467,0.0006356091,0.0004994745,0.0003961349,0.0003525749,0.0001283672,0.0002039781,0.0005222813,0.0005063348],"category_scores_gemma":[0.0001537125,0.0006703862,0.0001208917,0.0001374069,0.0004452482,0.0001499479,0.0006173067,0.0005984118,0.0004497075],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009563796,"about_ca_system_score_gemma":0.00009125849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000626228,"about_ca_topic_score_gemma":0.0001399103,"domain_scores_codex":[0.9969795,0.00001543807,0.0006775644,0.0009569224,0.0002852276,0.001085291],"domain_scores_gemma":[0.9988722,0.0003868905,0.0002248087,0.000292029,0.0000487229,0.0001753702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001502467,0.0005077059,0.0001038938,0.004336904,0.0004839975,0.002103471,0.0008038505,0.006797291,0.1137437,0.6108811,0.2292735,0.02946207],"study_design_scores_gemma":[0.0005917288,0.0003361913,0.00001361654,0.0006282628,0.0002943945,0.0007168727,0.0000512654,0.002208064,0.0005773903,0.02925971,0.9644931,0.0008294279],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01282914,0.0144588,0.1792661,0.0006624881,0.02628528,0.01179389,0.00682437,0.001475733,0.7464042],"genre_scores_gemma":[0.02024747,0.002034278,0.01398266,0.00003919205,0.001410824,0.0001648732,0.0004258359,0.0003609768,0.9613339],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.7352196,"threshold_uncertainty_score":0.9995747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054594616240755,"score_gpt":0.2169293108412489,"score_spread":0.2063833646788414,"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."}}