{"id":"W2087557703","doi":"10.1007/s10544-009-9351-3","title":"RoboSCell: an automated single cell arraying and analysis instrument","year":2009,"lang":"en","type":"article","venue":"Biomedical Microdevices","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001173888,0.0001960896,0.0002731225,0.0003077395,0.00008015516,0.0000836218,0.0001910258,0.0002036407,0.00002647744],"category_scores_gemma":[0.000008392503,0.0001656015,0.00005725133,0.0006545609,0.0001387355,0.00009790766,0.00003774402,0.0001285973,0.00001437435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004319568,"about_ca_system_score_gemma":0.000008682352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002608245,"about_ca_topic_score_gemma":0.000005161084,"domain_scores_codex":[0.9989753,0.00001836182,0.0002604643,0.0002851379,0.0001438475,0.0003169056],"domain_scores_gemma":[0.9995401,0.00001731453,0.00003853906,0.0002485677,0.00001832727,0.0001371321],"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":[0.000002945508,0.0001106021,0.0003338258,0.00004244932,0.00005733564,0.00001015194,0.000126041,0.00001743771,0.9462113,0.00001048679,0.001792824,0.05128461],"study_design_scores_gemma":[0.000892637,0.0005646355,0.01280537,0.00009313459,0.0006224739,0.00003409207,0.0007872178,0.1066624,0.821503,0.0001956617,0.05481319,0.001026229],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903257,0.002945162,0.002759187,0.0004019877,0.0001114071,0.00007837529,0.0000135099,0.002951911,0.000412707],"genre_scores_gemma":[0.9906948,0.0002610626,0.00874408,0.000165964,0.00003952625,0.000001064074,0.00006083927,0.00001281749,0.00001985439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1247083,"threshold_uncertainty_score":0.6753031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192874551461329,"score_gpt":0.2254352379121418,"score_spread":0.2135064923975285,"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."}}