{"id":"W4408332456","doi":"10.1002/cnma.202400577","title":"Plasma‐Assisted Hydroxyapatite/Chitosan Bionanocomposite Films with Improved Thermal Stability, Biomineralization and Optical Absorption Properties","year":2025,"lang":"en","type":"article","venue":"ChemNanoMat","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Canadian Armed Forces","funders":"","keywords":"Biomineralization; Chitosan; Thermal stability; Absorption (acoustics); Plasma; Materials science; Chemical engineering; Nanotechnology; Chemistry; Composite material; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006062643,0.0002201548,0.0002299756,0.0000953783,0.00005147474,0.00009922378,0.00009016322,0.0001097286,0.00002982124],"category_scores_gemma":[0.00001322016,0.0001796508,0.00002317383,0.0001748063,0.00007879918,0.0001657797,0.00004782522,0.00006851774,0.0000065495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003674524,"about_ca_system_score_gemma":0.00001460019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001532046,"about_ca_topic_score_gemma":0.0000066916,"domain_scores_codex":[0.999221,0.00001441727,0.0002433758,0.0002177519,0.00008726645,0.0002162221],"domain_scores_gemma":[0.9996513,0.00002140572,0.00002567586,0.0002238492,0.00002252479,0.00005527792],"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":[0.00003799161,0.00002654779,0.0004983739,0.0003786537,0.00004633702,0.000001296491,0.0001623888,0.001793675,0.9959538,0.00008921421,0.00003414593,0.0009775826],"study_design_scores_gemma":[0.000557645,0.00003580931,0.009845427,0.0001356696,0.0000229481,0.000007864867,0.00001812456,0.07804802,0.9110134,0.000005721403,0.00009950645,0.0002098382],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995719,0.0001970559,0.001807172,0.00007159891,0.0002386454,0.0003491521,0.00000874623,0.0005393459,0.001069323],"genre_scores_gemma":[0.9966779,0.00001292645,0.003010444,0.00001041898,0.00003114418,0.00007465677,0.00003331616,0.0000408604,0.0001083743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08494037,"threshold_uncertainty_score":0.7325945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009080754155672527,"score_gpt":0.1858521282859673,"score_spread":0.1767713741302947,"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."}}