{"id":"W2963657399","doi":"","title":"Designing a new, inexpensive, all-in-one microplastics extraction device","year":2019,"lang":"en","type":"article","venue":"MacEwan University Student Research Proceedings","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Microplastics; Extraction (chemistry); Environmental science; Computer science; Business; Oceanography; Geology; Chemistry","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":[0.0002386837,0.0006044979,0.0006238501,0.0004015228,0.0005757817,0.0008311242,0.001708817,0.001070784,0.002909607],"category_scores_gemma":[0.0003083475,0.0004811528,0.0004844848,0.0002764155,0.0002666542,0.001545773,0.00068965,0.0006194055,0.001830813],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004338523,"about_ca_system_score_gemma":0.0004936836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003066176,"about_ca_topic_score_gemma":0.0009839957,"domain_scores_codex":[0.9997161,0.00001388359,0.00002455425,0.00008967662,0.0001214166,0.00003434027],"domain_scores_gemma":[0.9998488,0.00003932787,0.00003154618,0.00002143329,0.00004052827,0.00001821615],"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":[0.0000923612,0.0000721734,0.0004696845,0.0004694207,0.00002659673,0.0002157204,0.000072819,0.0003112785,0.9607546,0.001774522,0.001565255,0.03417563],"study_design_scores_gemma":[0.00005026337,0.0005148316,0.001123107,0.0000388999,0.00005884683,0.0009140188,0.0000749738,0.008463678,0.9490947,0.000305788,0.03930684,0.00005404555],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3839409,0.004756209,0.5853759,0.001735584,0.001833225,0.001123534,0.001602566,0.002503389,0.01712867],"genre_scores_gemma":[0.36493,0.00168999,0.6010393,0.0006437122,0.0001790481,0.0005839695,0.0007402824,0.0001998434,0.02999377],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002909607,"threshold_uncertainty_score":0.009733558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158299884932611,"score_gpt":0.3629746290498605,"score_spread":0.2471446405565995,"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."}}