{"id":"W7094951105","doi":"10.5683/sp3/wmlwsv","title":"Search for \"ecotoxicological risks to the aquatic environment in Canada from micro- and nanoplastics\"","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"Drug Solubulity and Delivery Systems","field":"Pharmacology, Toxicology and Pharmaceutics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Aquatic environment; Aquatic ecosystem; Risk assessment; Biodiversity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001885781,0.0008292579,0.001262405,0.0002068757,0.0007929603,0.0001163716,0.001318357,0.001214562,0.0006208264],"category_scores_gemma":[0.0003672899,0.000688487,0.0001725808,0.0002531184,0.0003769272,0.00005554122,0.001142254,0.002100605,0.00003367676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646287,"about_ca_system_score_gemma":0.003046905,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9733078,"about_ca_topic_score_gemma":0.9897671,"domain_scores_codex":[0.9931963,0.00225922,0.001375972,0.001346365,0.0004992102,0.001322906],"domain_scores_gemma":[0.9897506,0.008268322,0.0003064527,0.0009382125,0.0000594761,0.0006769567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001216303,0.0004172002,0.00314585,0.0003412294,0.0005570402,0.0001497922,0.000570352,0.003441373,0.000179205,0.00003282394,0.9841502,0.005798644],"study_design_scores_gemma":[0.002226457,0.000318979,0.003064266,0.0001641763,0.0007013399,0.000009088028,0.0009915353,0.006353785,0.001164967,0.00007453171,0.9842473,0.0006835902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02227182,0.002649676,0.0001652927,0.005909265,0.002211178,0.004572228,0.9620697,0.00001087539,0.0001399537],"genre_scores_gemma":[0.04174247,0.006158389,0.0001768415,0.01382995,0.000825285,0.001490019,0.935325,0.00003562693,0.0004163719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02674466,"threshold_uncertainty_score":0.9995566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055410907795804,"score_gpt":0.3792957747656772,"score_spread":0.2737546839860967,"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."}}