{"id":"W3196884464","doi":"10.1016/j.jcis.2021.08.199","title":"Electrophoretic deposition of collagen/chitosan films with copper-doped phosphate glasses for orthopaedic implants","year":2021,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"China Postdoctoral Science Foundation; Natural Sciences and Engineering Research Council of Canada; University of Electronic Science and Technology of China; Canada Research Chairs","keywords":"Electrophoretic deposition; Chemical engineering; Polymer; Chitosan; Materials science; Composite number; Gelatin; Deposition (geology); Coating; Copper; Chemistry; Composite material; Metallurgy; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002063626,0.000108585,0.000260127,0.0001015138,0.00005682645,0.00008296507,0.0001439133,0.00002929952,0.00001577713],"category_scores_gemma":[0.00006672611,0.00008791443,0.00003373645,0.0003448204,0.0001111031,0.0002476085,0.00002103001,0.00006045961,4.27252e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002865174,"about_ca_system_score_gemma":0.000157189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001713526,"about_ca_topic_score_gemma":0.000003539919,"domain_scores_codex":[0.9991259,0.00001123491,0.0003134958,0.0001049372,0.0002349254,0.0002094982],"domain_scores_gemma":[0.9994661,0.00004498948,0.0001180538,0.00008955872,0.0001857959,0.00009548646],"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":[0.00007829489,0.00001229272,0.0000886614,0.00009689317,0.00002325324,0.000005162762,0.0001375908,0.007401755,0.9917514,0.00002558012,0.0002155801,0.0001635839],"study_design_scores_gemma":[0.0004981576,0.0005354517,0.0005190728,0.0002566372,0.0000283423,0.0006161951,0.0001095904,0.003966236,0.9932157,0.00001239459,0.0001408186,0.0001013801],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901697,0.001618208,0.00741121,0.00002920473,0.0005090158,0.0001069693,0.00001402649,0.00001632536,0.0001253404],"genre_scores_gemma":[0.9933323,0.0003297386,0.00624797,0.000007216696,0.00003329166,0.000003160943,5.877649e-7,0.00001446511,0.00003127657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003435519,"threshold_uncertainty_score":0.3585047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005704762330486772,"score_gpt":0.2249160954835371,"score_spread":0.2192113331530503,"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."}}