{"id":"W2767104398","doi":"10.1088/1361-665x/aa981c","title":"Direct ink writing of 3D conductive polyaniline structures and rheological modelling","year":2017,"lang":"en","type":"article","venue":"Smart Materials and Structures","topic":"Conducting polymers and applications","field":"Materials Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Fabrication; Polyaniline; Extrusion; Fused filament fabrication; Inkwell; Fused deposition modeling; Electrical conductor; Composite material; Polymer; 3D printing; Doping; Nozzle; Conductive polymer; Nanotechnology; Optoelectronics; Mechanical engineering; Polymerization","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001101562,0.0002190137,0.0001513633,0.0001838589,0.00009717941,0.0004248508,0.0002901467,0.0004333555,0.0009478154],"category_scores_gemma":[0.0003729097,0.0001897802,0.0002342595,0.0001535999,0.0002653689,0.0002720213,0.0001164356,0.0002448364,0.0001881638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817546,"about_ca_system_score_gemma":0.0002102873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00113121,"about_ca_topic_score_gemma":0.00108073,"domain_scores_codex":[0.9999393,0.000007156039,0.000003452968,0.00001279716,0.00003061838,0.000006571205],"domain_scores_gemma":[0.9998478,0.00008611206,0.00002204226,0.00002325237,0.00001671031,0.000004147973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004959276,0.00005847803,0.0006095306,0.00021425,0.0000104813,0.0002832122,0.0002139421,0.5766319,0.3961535,0.006411772,0.0002278715,0.01913555],"study_design_scores_gemma":[0.000004972694,0.00001583269,0.0003396054,0.000005319923,0.000001511529,0.00003304963,0.000006165249,0.9339862,0.06441815,0.0002923251,0.0008908486,0.000005950128],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6257551,0.0003970162,0.3554988,0.00009134984,0.00003609675,0.000120145,0.0005694248,0.001220687,0.01631143],"genre_scores_gemma":[0.924734,0.000300101,0.07188577,0.000008872827,0.000006024796,0.00007486459,0.0001404381,0.00007032173,0.002779481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00113121,"threshold_uncertainty_score":0.003170729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03785665972425052,"score_gpt":0.2867420087122726,"score_spread":0.2488853489880221,"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."}}