{"id":"W2006245585","doi":"10.1016/j.biomaterials.2006.06.006","title":"Micropatterning with aerosols: Application for biomaterials","year":2006,"lang":"en","type":"article","venue":"Biomaterials","topic":"Cellular Mechanics and Interactions","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval; Hôpital Saint-François d'Assise","funders":"National Research Council Canada","keywords":"Micropatterning; Materials science; Biomaterial; Nanotechnology; Biomedical engineering; Composite material; Engineering","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":[0.0001409669,0.0001337067,0.0001335764,0.00003111006,0.00009411214,0.00007873453,0.000104366,0.00009148718,0.00003777682],"category_scores_gemma":[0.000008460116,0.0001129995,0.00005117659,0.00003599422,0.00002233161,0.000004466795,0.00003502507,0.000002350101,0.00002379647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001022152,"about_ca_system_score_gemma":0.00002093803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001080709,"about_ca_topic_score_gemma":0.00003229692,"domain_scores_codex":[0.9992174,0.0000254938,0.0002295541,0.0002882611,0.0000541576,0.0001851514],"domain_scores_gemma":[0.9995143,0.000005115417,0.0001356537,0.0002450247,0.00007196043,0.00002795216],"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":[0.0001115575,0.00003972909,0.0000993787,0.00002226427,0.00001970223,4.522963e-7,0.000002980312,0.000002152372,0.9979939,0.0002153676,0.001333966,0.0001585028],"study_design_scores_gemma":[0.0003735598,0.0001697603,0.0001872568,0.00001127373,0.00001660826,0.00001921541,0.000007808799,0.00001293727,0.9182811,0.00007970747,0.08068556,0.0001551415],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9548127,0.0000793466,0.04395226,0.00006694795,0.0003356749,0.0004460943,0.0001587185,0.00002935771,0.0001188778],"genre_scores_gemma":[0.9950697,0.000008215665,0.002264343,0.00007119522,0.0006551768,0.0002570224,0.00134704,0.00003456146,0.0002927322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07971278,"threshold_uncertainty_score":0.4607985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004781621026721462,"score_gpt":0.2223499653773362,"score_spread":0.2175683443506147,"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."}}