{"id":"W2999063547","doi":"10.1021/acs.analchem.9b03626","title":"Increasing the Accessibility for Characterizing Microplastics: Introducing New Application-Based and Spectral Libraries of Plastic Particles (SLoPP and SLoPP-E)","year":2020,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Microplastics and Plastic Pollution","field":"Environmental Science","cited_by":307,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Gordon and Betty Moore Foundation","keywords":"Microplastics; Raman spectroscopy; Chemistry; Environmental chemistry; Nanotechnology; Optics; Materials science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001373912,0.0001180518,0.0001612373,0.000005546779,0.0001119668,0.0000691949,0.0001151944,0.0000538075,0.0001301964],"category_scores_gemma":[0.00109102,0.00009129568,0.00003640191,0.0001088499,0.0003262831,0.00008170092,0.0001080249,0.0001048242,0.000003593721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002171323,"about_ca_system_score_gemma":0.00003980881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000461132,"about_ca_topic_score_gemma":0.000003642786,"domain_scores_codex":[0.9991346,0.00001580978,0.0002398475,0.0003160162,0.0001064216,0.0001872831],"domain_scores_gemma":[0.9986114,0.0009767134,0.00009420343,0.000124802,0.00000840038,0.0001844824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002162701,0.00002956352,0.1089532,0.0001679385,0.00002336839,6.227825e-7,0.0001572445,0.00035885,0.8881188,0.0001957146,0.0002590716,0.00151938],"study_design_scores_gemma":[0.0007273762,0.00006997122,0.1500018,0.00004657717,0.0002021919,0.000008011829,0.0001027215,0.5408437,0.3055383,0.001182953,0.0009966114,0.0002797776],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420552,0.00003717819,0.05622798,0.001454312,0.00001371893,0.00009868977,0.00003157174,0.00001448897,0.00006683999],"genre_scores_gemma":[0.9960753,0.000005202242,0.003580942,0.0001717824,0.0001345721,0.00000367428,0.00001165179,0.000008143433,0.00000876644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5825805,"threshold_uncertainty_score":0.372293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01228691641012277,"score_gpt":0.2167832483947601,"score_spread":0.2044963319846373,"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."}}