{"id":"W3005783355","doi":"10.1016/j.colsurfa.2020.124590","title":"A new in situ enhancement of the hydroxyapatite surface by Tyramine: Preparation and interfacial properties","year":2020,"lang":"en","type":"article","venue":"Colloids and Surfaces A Physicochemical and Engineering Aspects","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Chemical engineering; Adsorption; Materials science; Tyramine; Nanoparticle; Grafting; Apatite; Infrared spectroscopy; Nanotechnology; Chemistry; Organic chemistry; Composite material; Polymer","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":[0.0002159044,0.000338482,0.0002711055,0.0001146754,0.0001449008,0.0003488556,0.0004066248,0.0004780967,0.0004909617],"category_scores_gemma":[0.0002005445,0.0002101524,0.0002554045,0.00009831198,0.000218153,0.0003293018,0.0002326655,0.0005178351,0.000180463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001868859,"about_ca_system_score_gemma":0.0001575127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002924301,"about_ca_topic_score_gemma":0.0004522089,"domain_scores_codex":[0.9998873,0.00001671004,0.000009993318,0.000032461,0.00003173648,0.00002170113],"domain_scores_gemma":[0.9998634,0.00003526767,0.00003126343,0.00002066871,0.00002672074,0.00002272774],"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":[0.00001512434,0.000003934552,0.00001892591,0.00002012882,0.000001318755,0.00001385499,0.00000746066,0.000009246044,0.9994124,0.00002340462,0.000006620971,0.000467539],"study_design_scores_gemma":[0.000003762661,0.00005683217,0.0002090056,8.070904e-7,0.000005032053,0.00006735825,0.000004228847,0.0002360323,0.9987733,0.000007464555,0.0006339749,0.000002169014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715758,0.002295568,0.02417438,0.0001155113,0.00006708288,0.00004491378,0.00009367945,0.0001031068,0.001530039],"genre_scores_gemma":[0.9793459,0.001006242,0.01479515,0.00008521631,0.00002552837,0.00004696591,0.0001516395,0.00005215661,0.004491101],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004909617,"threshold_uncertainty_score":0.001642466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006130300030506772,"score_gpt":0.177699587636013,"score_spread":0.1715692876055062,"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."}}