{"id":"W4294891754","doi":"10.1145/3550296","title":"MicroFluID","year":2022,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Chip; Microfluidics; Artifact (error); Key (lock); Reading (process); Computer hardware; Artificial intelligence; Nanotechnology; Telecommunications; Materials science","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":[0.0004723778,0.001115239,0.0006626062,0.001339515,0.001349931,0.00279534,0.001577488,0.001905827,0.2102209],"category_scores_gemma":[0.00125451,0.000546121,0.0006830371,0.0009425001,0.000503209,0.002319966,0.002381197,0.001208412,0.1199388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000914965,"about_ca_system_score_gemma":0.00102502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001223057,"about_ca_topic_score_gemma":0.001276025,"domain_scores_codex":[0.9991208,0.00006809903,0.00006259424,0.0002641975,0.0003427172,0.000141669],"domain_scores_gemma":[0.9995702,0.00005784107,0.00003704414,0.00009301019,0.0001887395,0.00005313655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007073292,0.0002249039,0.002291783,0.00197897,0.000079684,0.00128159,0.0004244659,0.003109464,0.1905773,0.1112091,0.2433046,0.4448109],"study_design_scores_gemma":[0.00005022634,0.0001162779,0.0006255824,0.0001052378,0.00002900315,0.0006295852,0.0001188345,0.00374938,0.05910954,0.007591898,0.927824,0.00005046868],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02651437,0.006964562,0.168418,0.003997989,0.008110294,0.001101919,0.01447683,0.02233344,0.7480826],"genre_scores_gemma":[0.2055488,0.005889852,0.1121329,0.00670486,0.000959607,0.001603808,0.02617965,0.004286685,0.636694],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2102209,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00839130904767508,"score_gpt":0.2171986669044258,"score_spread":0.2088073578567507,"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."}}