{"id":"W2125555844","doi":"10.1109/iembs.2002.1053040","title":"Electron microscopy cell fraction preparation robot","year":2002,"lang":"en","type":"article","venue":"","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Sample preparation; Fraction (chemistry); Organelle; Materials science; Throughput; Computer science; Nanotechnology; Biological system; Chemistry; Chromatography; Biology; Biochemistry","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":[0.000609372,0.0007268771,0.000609584,0.0005682153,0.0009138423,0.0006097607,0.001542173,0.0006596376,0.01211284],"category_scores_gemma":[0.0006661415,0.000471543,0.0004225189,0.0003248317,0.0004056235,0.0007064046,0.0008953959,0.001180019,0.006492552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004731096,"about_ca_system_score_gemma":0.0007849872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008459727,"about_ca_topic_score_gemma":0.001098331,"domain_scores_codex":[0.9996231,0.00002099989,0.000024831,0.0001268463,0.0001570829,0.00004722118],"domain_scores_gemma":[0.9993355,0.0001282193,0.00005921622,0.0001825666,0.0001958739,0.000098661],"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":[0.0003906928,0.0001612741,0.002068622,0.0002820527,0.00002876394,0.0002964661,0.000147347,0.001988734,0.8936403,0.005190708,0.01391174,0.08189332],"study_design_scores_gemma":[0.0002016243,0.0006586393,0.009826393,0.00009489441,0.00006133415,0.001560784,0.00009407767,0.02776108,0.6775735,0.001499798,0.2805417,0.0001261853],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09762509,0.0008361777,0.8608028,0.0005390671,0.0004834702,0.001696909,0.004281736,0.01836618,0.01536852],"genre_scores_gemma":[0.08221088,0.0004839129,0.888387,0.0003975752,0.00005910109,0.001742791,0.005927481,0.0007375363,0.02005373],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01211284,"threshold_uncertainty_score":0.04052144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006658265111718856,"score_gpt":0.323176795435427,"score_spread":0.3165185303237081,"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."}}