{"id":"W2155083905","doi":"10.1371/journal.pone.0013542","title":"Single Cell Deposition and Patterning with a Robotic System","year":2010,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":78,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computer science; Pipette; Single-cell analysis; Substrate (aquarium); Nanotechnology; Biomedical engineering; Computer hardware; Cell; Materials science; Engineering; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00002260057,0.00006923309,0.00009192115,0.00003477799,0.00003408139,0.00002775941,0.00003627824,0.00006479401,0.000002267004],"category_scores_gemma":[0.000003280001,0.00005793307,0.000006092278,0.00004247958,0.00002490798,0.00003499714,0.00001556173,0.0001315848,0.00001166612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001397639,"about_ca_system_score_gemma":0.000001780889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007411823,"about_ca_topic_score_gemma":0.000008202839,"domain_scores_codex":[0.9996858,0.000003161045,0.00006028022,0.00008210597,0.00006238234,0.0001062939],"domain_scores_gemma":[0.9998333,0.00001015236,0.00001258438,0.0001098686,0.00001367155,0.00002043235],"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":[0.00000168805,0.00004390503,0.001227335,0.000256562,0.00001648878,0.00001147231,0.00003807606,0.000009723255,0.9976522,0.00001300635,0.00003343924,0.0006960776],"study_design_scores_gemma":[0.0001156978,0.00005489485,0.0003881015,0.0002395485,0.0000475404,0.00003092259,0.00008618176,0.007061002,0.9918621,0.000003794959,0.000009786711,0.0001004967],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930179,0.0002220057,0.005277744,0.00003174856,0.00003139226,0.00006772967,9.434225e-7,0.0007921626,0.0005583951],"genre_scores_gemma":[0.9867963,0.00001490028,0.01311157,0.000006004302,0.00002679344,0.000002705884,0.00000234856,0.00001576518,0.0000235606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007833829,"threshold_uncertainty_score":0.2362442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01352537657094598,"score_gpt":0.1457658461517116,"score_spread":0.1322404695807656,"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."}}