{"id":"W1522568210","doi":"10.1126/science.1165719","title":"Putting Electrowetting to Work","year":2008,"lang":"en","type":"article","venue":"Science","topic":"Electrowetting and Microfluidic Technologies","field":"Engineering","cited_by":311,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Electrowetting; Work (physics); Computer science; Computer graphics (images); 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002692453,0.00007960444,0.00006964884,0.0001683224,0.0002932588,0.00002715107,0.0003902357,0.00002788112,0.000004591035],"category_scores_gemma":[0.0002025771,0.00007844026,0.00001665623,0.001623123,0.0001495756,0.0001148369,0.00005915413,0.000140553,0.0001016088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008108671,"about_ca_system_score_gemma":0.00004177972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001837473,"about_ca_topic_score_gemma":3.245443e-7,"domain_scores_codex":[0.9990287,0.000002855941,0.00009687233,0.0001899579,0.0001644026,0.0005171533],"domain_scores_gemma":[0.9996805,0.00002028774,0.000009567056,0.000197448,0.00002935391,0.00006289159],"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":[4.299997e-7,0.000002064193,0.001246715,0.000002590143,0.000001236092,0.000005922462,0.0002535201,0.0001496132,0.9320573,0.0001089194,0.002314901,0.06385684],"study_design_scores_gemma":[0.00003100499,0.00002161879,0.002726013,0.00001860785,8.259487e-7,0.00003798977,0.00002753372,0.00006774475,0.987677,0.0001822667,0.009095022,0.0001143985],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887868,0.0007929531,0.004760552,0.0002791725,0.0001592928,0.00005871744,1.658743e-7,0.00154633,0.003616058],"genre_scores_gemma":[0.9851474,0.00004150322,0.01450298,0.00009708109,0.00003612299,0.000006860826,1.037232e-7,0.0000106927,0.0001572595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06374244,"threshold_uncertainty_score":0.3198701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007534951979662665,"score_gpt":0.1920656441259501,"score_spread":0.1845306921462875,"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."}}