{"id":"W4286852571","doi":"10.3791/1418-v","title":"The Microfluidic Probe: Operation and Use for Localized Surface Processing","year":2009,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Computer science; Artificial intelligence","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":[0.0005515145,0.0008634424,0.0005454323,0.0005216509,0.000465278,0.0006065606,0.001122949,0.001100321,0.003153279],"category_scores_gemma":[0.0005905083,0.0004842791,0.0004629278,0.000413594,0.0006128059,0.00107883,0.0007165167,0.0009594955,0.002480397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000652936,"about_ca_system_score_gemma":0.0007581128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004785109,"about_ca_topic_score_gemma":0.0002974697,"domain_scores_codex":[0.9996269,0.00003016759,0.00001916708,0.0001350909,0.0001469999,0.00004160726],"domain_scores_gemma":[0.9998509,0.00003351598,0.00003569966,0.00002895691,0.0000275482,0.00002338664],"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":[0.0000720533,0.00001966653,0.0001311334,0.0002418443,0.000004183331,0.00009770525,0.0000478285,0.0001574024,0.9434313,0.00194708,0.001790664,0.05205914],"study_design_scores_gemma":[0.00002074542,0.0002707832,0.001064905,0.0000422281,0.00001500098,0.001135061,0.00001543278,0.001425894,0.9322619,0.0004038996,0.06329089,0.00005325461],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1319514,0.0274928,0.8067224,0.002381171,0.00109972,0.001391384,0.003515749,0.009854915,0.01559046],"genre_scores_gemma":[0.2531714,0.0140859,0.7044646,0.0007263027,0.0003446079,0.002389404,0.002230994,0.0007490972,0.02183781],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003153279,"threshold_uncertainty_score":0.01054871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03933730697378484,"score_gpt":0.4268190158358561,"score_spread":0.3874817088620713,"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."}}