{"id":"W6906683657","doi":"10.17632/zzvtdrcy76.2","title":"A Dataset on Formulation Parameters and Characteristics of Drug-Loaded PLGA Microparticles","year":2024,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"PLGA; Microparticle; Drug delivery; Drug; Pharmaceutical technology","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009373938,0.0005888891,0.0007801666,0.0004383831,0.00007832418,0.0002283226,0.001648894,0.0002334206,0.0001238813],"category_scores_gemma":[0.0004255389,0.0005479685,0.00004624541,0.0003324136,0.0001700696,0.0004719362,0.002111883,0.0006050397,0.00631715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001025165,"about_ca_system_score_gemma":0.0001190097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004577483,"about_ca_topic_score_gemma":0.0002458839,"domain_scores_codex":[0.9964641,0.0001924344,0.0009228887,0.001281843,0.000650226,0.0004884454],"domain_scores_gemma":[0.9941625,0.000287589,0.0006036758,0.004714555,0.00005001493,0.0001816468],"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":[0.0002448782,0.000189144,0.00001279433,0.0008119371,0.0002504688,0.00005792341,0.00003450356,0.000001264878,0.002604118,0.000008731442,0.9947673,0.00101693],"study_design_scores_gemma":[0.0005363357,0.00009915862,0.0001158904,0.0005854021,0.0009262816,0.00002343262,0.00003606483,0.000656899,0.001946628,0.00007124502,0.9944677,0.0005349076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.009823452,0.0002664041,0.000003336846,0.0000806197,0.000309852,0.0006055625,0.9888526,0.00005538325,0.000002779952],"genre_scores_gemma":[0.002789032,0.0002741352,0.0003963686,0.0001363569,0.0001131758,0.00002777155,0.9961434,0.0001093804,0.00001037263],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007290797,"threshold_uncertainty_score":0.9996972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0686536331435495,"score_gpt":0.3192919949340985,"score_spread":0.250638361790549,"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."}}