{"id":"W7055410883","doi":"","title":"Conducting Polymer Nanofibers Obtained by Electrospinning","year":2007,"lang":"en","type":"other","venue":"NPARC","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nanofiber; Conductive polymer; Electrospinning; Polymer; Electrical conductor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005792108,0.0003836566,0.0002668704,0.0008438355,0.0005049505,0.0005150251,0.0003735502,0.0004196899,0.03526185],"category_scores_gemma":[0.000983551,0.0001516909,0.0001814638,0.0003724626,0.0002000175,0.0005583477,0.00038063,0.0004179036,0.01202769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002871436,"about_ca_system_score_gemma":0.0004122737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003773731,"about_ca_topic_score_gemma":0.001616608,"domain_scores_codex":[0.9996732,0.00001974584,0.00001622883,0.00007035283,0.0001820733,0.00003839427],"domain_scores_gemma":[0.99945,0.0001001068,0.00005662823,0.00008239727,0.0002357366,0.00007510389],"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":[0.000221999,0.0001458657,0.0008345918,0.0003784194,0.00001770472,0.0006196653,0.0001226024,0.0003022997,0.7857895,0.004201309,0.02727481,0.1800912],"study_design_scores_gemma":[0.00003859449,0.0001496011,0.005120118,0.00003780962,0.0000243266,0.0007563209,0.00004615677,0.002006995,0.7880579,0.0008869083,0.2028492,0.00002600256],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3714311,0.002854347,0.03748116,0.00185376,0.002593978,0.0007406907,0.002240655,0.002877573,0.5779268],"genre_scores_gemma":[0.2925004,0.001943792,0.02452733,0.0003087255,0.0003453021,0.0001797522,0.002506381,0.0006411184,0.6770473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03526185,"threshold_uncertainty_score":0.1179626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0113552879835718,"score_gpt":0.228626336441462,"score_spread":0.2172710484578902,"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."}}