{"id":"W2790243520","doi":"10.1002/9783527687596.ch6","title":"Bioinspired Microfluidic Cooling","year":2018,"lang":"en","type":"other","venue":"","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Fluidics; Flexibility (engineering); Wearable computer; Microfluidics; Engineering; Thermal management of electronic devices and systems; Thermal; Mechanical engineering; Computer science; Nanotechnology; Materials science; Embedded system; Aerospace 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":[0.0003436941,0.0006240922,0.0004917941,0.0006575474,0.0004332146,0.0009074633,0.0006960257,0.0007733775,0.008967663],"category_scores_gemma":[0.0004435822,0.0003494306,0.0005110404,0.0004265539,0.0004216704,0.00145995,0.0007718593,0.0007388301,0.002876519],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006016782,"about_ca_system_score_gemma":0.0004204037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002528351,"about_ca_topic_score_gemma":0.0005548703,"domain_scores_codex":[0.9996912,0.0000264267,0.00001643195,0.0000797341,0.0001469322,0.00003918391],"domain_scores_gemma":[0.9999081,0.00003069507,0.0000206739,0.00000959072,0.00002218119,0.000008839143],"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":[0.0001200894,0.000194775,0.0003776272,0.00606104,0.00006966913,0.0004037278,0.0002544777,0.006678312,0.5051248,0.059385,0.02265183,0.3986785],"study_design_scores_gemma":[0.00002577299,0.0002935215,0.0004367236,0.000413607,0.00004536988,0.000612865,0.00005709553,0.008466761,0.3719918,0.003703052,0.6138943,0.00005901522],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.06942488,0.3864149,0.285782,0.002679453,0.006691854,0.000633947,0.001112295,0.002911295,0.2443493],"genre_scores_gemma":[0.4308192,0.282108,0.1236756,0.002053748,0.002004646,0.001176037,0.001118175,0.0004986724,0.1565459],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008967663,"threshold_uncertainty_score":0.02999985,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0289451412684082,"score_gpt":0.2926463473016436,"score_spread":0.2637012060332354,"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."}}