{"id":"W2186907208","doi":"","title":"YARN BASED MICROFLUIDICS: FROM BASIC ELEMENTS TO COMPLEX CIRCUITS","year":2009,"lang":"en","type":"article","venue":"13th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2009","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Microfluidics; Yarn; Electronic circuit; Nanotechnology; Computer science; Topology (electrical circuits); Materials science; Engineering; Mechanical engineering; Electrical 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":[0.0004675197,0.0005269907,0.00048633,0.0004277063,0.0002890214,0.001052979,0.0005758771,0.000692711,0.001509147],"category_scores_gemma":[0.0004906544,0.0004887727,0.0003061616,0.0003194615,0.001073184,0.001273628,0.0007401818,0.0007491144,0.0008083015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004347528,"about_ca_system_score_gemma":0.0002972576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001942409,"about_ca_topic_score_gemma":0.0003022948,"domain_scores_codex":[0.9997428,0.00004864375,0.00001631101,0.00005422603,0.0001095979,0.00002835799],"domain_scores_gemma":[0.9997644,0.00009724067,0.0000524464,0.00003169631,0.00002987289,0.00002436769],"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":[0.00009861957,0.00003344736,0.0002988312,0.0006776173,0.00001926041,0.0001752316,0.0001381026,0.00240569,0.900906,0.02762168,0.001164503,0.06646113],"study_design_scores_gemma":[0.00004457903,0.0005905551,0.001252055,0.0002049218,0.00003844071,0.001237113,0.00005863191,0.01720178,0.8015104,0.01151535,0.1662429,0.0001032585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1633136,0.1313147,0.678296,0.003464446,0.001831763,0.0003380555,0.0005178016,0.004160272,0.01676328],"genre_scores_gemma":[0.3956175,0.06635267,0.5122417,0.0012159,0.0007149638,0.0004561305,0.0003746714,0.0002251786,0.0228013],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001509147,"threshold_uncertainty_score":0.005048633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04365323278456337,"score_gpt":0.2765841814689136,"score_spread":0.2329309486843502,"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."}}