{"id":"W4390268065","doi":"10.3390/polym16010085","title":"Cheminformatics-Based Design and Synthesis of Hydroxyapatite/Collagen Nanocomposites for Biomedical Applications","year":2023,"lang":"en","type":"article","venue":"Polymers","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Nanocomposite; Thermogravimetric analysis; Biocompatibility; Materials science; Crystallinity; Cheminformatics; Fourier transform infrared spectroscopy; Chemical engineering; Biomedical engineering; Biomaterial; Drug delivery; Nanotechnology; Tissue engineering; Chemistry; Composite material","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":[0.0002794626,0.0004711513,0.0003199726,0.0002692331,0.0001649973,0.0004657284,0.0003991823,0.0003749836,0.0009416321],"category_scores_gemma":[0.0002613052,0.0002633538,0.0004619159,0.0002338115,0.0002023279,0.0003124284,0.00021755,0.0005566446,0.0004296041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005392481,"about_ca_system_score_gemma":0.000755342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000570606,"about_ca_topic_score_gemma":0.001221296,"domain_scores_codex":[0.9998472,0.00001858013,0.000009722123,0.00003645308,0.00007477839,0.00001325764],"domain_scores_gemma":[0.9999043,0.00002636886,0.00002875015,0.000006939816,0.00002399774,0.00000973642],"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":[0.00008608171,0.0001338771,0.0003701733,0.0004241137,0.00004535556,0.0001113014,0.0000366277,0.07426926,0.8895497,0.003218039,0.000305475,0.03145003],"study_design_scores_gemma":[0.00006101371,0.0003072356,0.0006027825,0.00001962911,0.00003836226,0.0001717735,0.00003340436,0.2713205,0.7158565,0.001324984,0.01022961,0.00003424355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2806598,0.003634878,0.6969248,0.000512483,0.000192264,0.0004448905,0.0004953777,0.001009231,0.01612619],"genre_scores_gemma":[0.5459542,0.001949519,0.4484487,0.0001915164,0.00003330206,0.0003676013,0.0003895248,0.00009106774,0.002574631],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009416321,"threshold_uncertainty_score":0.003912508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01037399196221237,"score_gpt":0.2183811189361857,"score_spread":0.2080071269739733,"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."}}