{"id":"W1517735674","doi":"10.1007/978-3-642-04850-0_7","title":"Sub-micrometer Network Fabrication for Bacterial Carriers and Electrical Signal Transmission","year":2009,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Neuroscience and Neural Engineering","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Materials science; Micrometer; Fabrication; Annealing (glass); Curing (chemistry); Electrical resistivity and conductivity; Nanotechnology; Polymerization; Optoelectronics; SIGNAL (programming language); Nanoparticle; Composite material; Electrical engineering; Computer science; Polymer; Engineering; Mechanical 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001823289,0.0004671993,0.0002849909,0.0002885558,0.0003038099,0.0004432197,0.0006387855,0.0005797228,0.002786972],"category_scores_gemma":[0.0003018619,0.0003403831,0.0002034615,0.0002401737,0.0002841165,0.0009431186,0.0004381788,0.0006342442,0.001731552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006432441,"about_ca_system_score_gemma":0.000311896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004479649,"about_ca_topic_score_gemma":0.001411513,"domain_scores_codex":[0.9998691,0.000009837728,0.00000588494,0.00002957296,0.00006903752,0.00001658837],"domain_scores_gemma":[0.9998754,0.00004955026,0.00002136062,0.00002281292,0.00002359817,0.000007298223],"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":[0.00003442744,0.00005614247,0.000115446,0.0002719152,0.00001016077,0.00008893756,0.0001116861,0.002685074,0.9365155,0.01516641,0.002166297,0.04277797],"study_design_scores_gemma":[0.00001664183,0.0002277502,0.000643425,0.00005323353,0.00002088191,0.0004062832,0.00006072529,0.02874341,0.9037334,0.006202206,0.05986704,0.000025033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.286972,0.02086681,0.570176,0.001603357,0.001963693,0.0003978748,0.000616885,0.001816671,0.1155868],"genre_scores_gemma":[0.5231082,0.007228078,0.4003462,0.0002449532,0.0001713127,0.000272188,0.0004158018,0.0002621287,0.06795112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002786972,"threshold_uncertainty_score":0.009323299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02558425678243728,"score_gpt":0.2368832322255542,"score_spread":0.2112989754431169,"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."}}