{"id":"W2999672373","doi":"10.1080/00914037.2020.1713783","title":"Role of microsphere as drug carrier for osteogenic differentiation","year":2020,"lang":"en","type":"article","venue":"International Journal of Polymeric Materials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Acadia University","funders":"","keywords":"Drug delivery; Microsphere; Biocompatibility; Drug; Regeneration (biology); Biomedical engineering; Drug carrier; Nanotechnology; Tissue engineering; Chemistry; Materials science; Pharmacology; Cell biology; Medicine; Biology; Chemical engineering; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001201625,0.0001420356,0.0003481517,0.00006398008,0.00001167042,0.00005748953,0.0003373978,0.00004938657,0.0009965785],"category_scores_gemma":[0.00008102585,0.0001382831,0.0001070301,0.00005135497,0.00001757811,0.0001562518,0.00003180475,0.00004594525,0.00001325933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000399951,"about_ca_system_score_gemma":0.00002804158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001861293,"about_ca_topic_score_gemma":4.635183e-7,"domain_scores_codex":[0.9988196,0.00002378252,0.0006876524,0.0000813961,0.0002569781,0.000130589],"domain_scores_gemma":[0.9993271,0.00004412898,0.0003041736,0.00007370371,0.0001680197,0.00008282768],"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":[0.0001188418,0.00001069281,0.00002779938,0.00006939647,0.0002291146,0.000003564879,0.0006160107,0.001232475,0.9956696,0.0001666126,0.0005525783,0.001303301],"study_design_scores_gemma":[0.0005936355,0.00006443266,0.000344418,0.00005174249,0.00004068481,0.00003377308,0.00008398005,0.0002452167,0.9955174,0.0001895798,0.002716405,0.0001187791],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933651,0.0009145561,0.002242825,0.0002537179,0.00271573,0.0001222099,0.0002559172,0.00004344664,0.00008647208],"genre_scores_gemma":[0.9979166,0.00005738696,0.0009856181,0.00004611379,0.0008744301,0.000007381323,0.00001963714,0.00004344202,0.0000493324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004551533,"threshold_uncertainty_score":0.9999167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004874222192716268,"score_gpt":0.2119385574515925,"score_spread":0.2070643352588762,"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."}}