{"id":"W2110429104","doi":"10.1039/c3cc45817b","title":"i3DP, a robust 3D printing approach enabling genetic post-printing surface modification","year":2013,"lang":"en","type":"article","venue":"Chemical Communications","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"3D printing; Surface modification; Materials science; 3d printed; Nanotechnology; Computer science; Chemical engineering; Composite material; Manufacturing engineering; Engineering","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":[0.0001554792,0.0002132606,0.0001940259,0.00008095469,0.0002472053,0.000130843,0.001287405,0.0001697768,0.00002499188],"category_scores_gemma":[0.0003559582,0.0002258555,0.00007278684,0.0002517485,0.0001881288,0.0001625015,0.0007513505,0.0006718247,0.0001497276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009316411,"about_ca_system_score_gemma":0.00001276635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006866761,"about_ca_topic_score_gemma":0.000001040386,"domain_scores_codex":[0.9988263,0.00004070403,0.0003699427,0.0002688258,0.0001274842,0.0003667228],"domain_scores_gemma":[0.9977066,0.0002544846,0.0000839276,0.001726118,0.0001584488,0.00007041265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003079651,0.0002869962,0.001569572,0.0004072896,0.0001948225,7.28598e-7,0.001420938,0.1071668,0.7428231,0.003728806,0.001095473,0.1413023],"study_design_scores_gemma":[0.0002639013,0.000009347715,0.006173004,0.0001111868,0.00004001611,0.00001642042,0.001129766,0.6124291,0.3744403,0.001526788,0.003118305,0.0007418175],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9352563,0.0005333287,0.04831465,0.0005957987,0.00004156817,0.000391222,0.000007323469,0.002362521,0.01249726],"genre_scores_gemma":[0.7325701,0.00009900743,0.2670284,0.00002228466,0.00002608709,0.0001035264,0.00007191926,0.00003879289,0.00003992353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5052623,"threshold_uncertainty_score":0.9210122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04341520249939976,"score_gpt":0.2335726790959471,"score_spread":0.1901574765965474,"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."}}