{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00002960192,0.00009605367,0.00005942699,0.00001898637,0.00009216928,0.00001739587,0.00008242094,0.0000924475,0.0001334617],"category_scores_gemma":[0.000003597266,0.00009721735,0.00004030599,0.0000681466,0.00001952582,0.000005071468,0.00001961798,0.00006752158,0.00006802224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002209653,"about_ca_system_score_gemma":0.000008115924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005050729,"about_ca_topic_score_gemma":0.000008098636,"domain_scores_codex":[0.9993918,0.00001142165,0.0001129879,0.0002520024,0.00004522497,0.0001865793],"domain_scores_gemma":[0.9996356,0.000002264894,0.00005080351,0.0002423149,0.00003467098,0.00003437927],"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":[0.00001182297,0.00006155209,0.00006242946,0.000002100677,0.00000284612,5.31528e-8,0.000003241377,0.00004626577,0.9798371,0.0001075727,0.01928212,0.0005828616],"study_design_scores_gemma":[0.00009082103,0.0002151493,0.00002496859,8.325516e-7,0.00000386424,0.00000339266,0.000003220623,0.0001609215,0.8161379,0.00009205596,0.18317,0.00009681491],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3632069,0.001002465,0.6129837,0.0002347008,0.00003209944,0.000370458,0.000004355103,0.0001093667,0.02205595],"genre_scores_gemma":[0.9622416,0.0007372042,0.02510495,0.0003360219,0.000105152,0.0000734773,0.00009013482,0.00001868177,0.01129278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5990347,"threshold_uncertainty_score":0.3964409,"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."}}