{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004374053,0.0006464993,0.0008287407,0.0005708851,0.0006729346,0.0007993116,0.001568069,0.0008967287,0.004309603],"category_scores_gemma":[0.0004027656,0.0006653113,0.0005657805,0.0003571232,0.0003879427,0.0005174411,0.0009414088,0.0007539406,0.00352442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005798573,"about_ca_system_score_gemma":0.001060303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106795,"about_ca_topic_score_gemma":0.001137901,"domain_scores_codex":[0.9991555,0.00003880989,0.00008128655,0.000341304,0.0003279111,0.00005526623],"domain_scores_gemma":[0.999721,0.00004945523,0.000045148,0.00009342839,0.00005908436,0.00003183604],"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":[0.00005515509,0.00004416293,0.0001812973,0.0001545363,0.0000162378,0.0001186875,0.00005184317,0.001020476,0.9674135,0.001429298,0.001351808,0.02816305],"study_design_scores_gemma":[0.00005266012,0.0004612132,0.001272897,0.00002694987,0.00004927627,0.0007831283,0.00002219125,0.01974977,0.9007716,0.0004726943,0.07626607,0.00007169477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1133459,0.001762577,0.8557661,0.0006511637,0.0009301396,0.001680771,0.001203054,0.009011788,0.01564844],"genre_scores_gemma":[0.1441332,0.00105446,0.8329979,0.000475822,0.000134694,0.001936954,0.0009247056,0.0001715972,0.01817074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004309603,"threshold_uncertainty_score":0.01441705,"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."}}