{"id":"W2560285798","doi":"10.1182/blood.v108.11.3402.3402","title":"FISH and Chips: Novel, Point of Care Technology To Detect Chromosomal Abnormalities.","year":2006,"lang":"en","type":"article","venue":"Blood","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Fluorescence in situ hybridization; Chromosomal translocation; Microfluidics; Chromosome; Computational biology; Microfluidic chip; Biology; Computer science; Biomedical engineering; Materials science; Nanotechnology; Genetics; Medicine; Gene","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":[0.0009944078,0.001021403,0.000478922,0.0007427273,0.0002630895,0.0006172271,0.001170012,0.001038688,0.003232423],"category_scores_gemma":[0.0007781769,0.0006450668,0.0005173906,0.0002767079,0.0006031823,0.0006191573,0.0008002078,0.000669252,0.001775953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005281651,"about_ca_system_score_gemma":0.0003632616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004599712,"about_ca_topic_score_gemma":0.0009942898,"domain_scores_codex":[0.9989666,0.0001861519,0.00006210299,0.000273019,0.0004205721,0.00009162643],"domain_scores_gemma":[0.9996044,0.0001382762,0.00006745141,0.00005485461,0.00008989152,0.00004524532],"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":[0.0000747213,0.00003972246,0.0004415316,0.0002134079,0.00003042735,0.0000757028,0.00003082671,0.0005782106,0.9776214,0.0007871324,0.001809223,0.01829766],"study_design_scores_gemma":[0.00003720445,0.0004433918,0.002741944,0.00003021725,0.00005399212,0.0005986038,0.00002748296,0.01022082,0.9524713,0.0004884627,0.03280624,0.0000802322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1543169,0.01058799,0.8103312,0.001696536,0.001418976,0.001615165,0.003089583,0.007300321,0.009643397],"genre_scores_gemma":[0.2945891,0.004513366,0.6717407,0.001895186,0.0002456601,0.00282597,0.003988096,0.0003320621,0.01986995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003232423,"threshold_uncertainty_score":0.01081353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003335673373620827,"score_gpt":0.1980493903723067,"score_spread":0.1947137169986859,"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."}}