{"id":"W2470027415","doi":"10.1007/978-1-60327-299-5_10","title":"Analysis of the Degradome with the CLIP-CHIP™ Microarray","year":2010,"lang":"en","type":"article","venue":"Methods in molecular biology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chip; Computer science; Telecommunications","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023316,0.0001912785,0.0002948687,0.0001257966,0.00008819652,0.000007932612,0.000802725,0.0003405811,0.00002064675],"category_scores_gemma":[0.0001721171,0.0001023858,0.0002769093,0.0008818287,0.0007377822,9.942655e-7,0.0002434764,0.0003753863,6.045083e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005418728,"about_ca_system_score_gemma":0.00005984405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000579829,"about_ca_topic_score_gemma":0.0004735197,"domain_scores_codex":[0.9981753,0.0007440906,0.0002837547,0.0004585144,0.00006444845,0.0002738958],"domain_scores_gemma":[0.9983698,0.00006353033,0.0001879201,0.001258076,0.00008302254,0.00003764661],"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":[0.00002151295,0.00004030311,0.01998746,0.000002227127,0.0002766571,6.048973e-7,0.0000182345,0.0000365922,0.9716252,0.00500603,0.00004066903,0.002944522],"study_design_scores_gemma":[0.0002160686,0.0001243408,0.01350208,0.000002551065,0.0002581478,0.00001576042,0.00002287783,0.00007505329,0.9521292,0.0008026607,0.03267713,0.0001741288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4853948,0.0001940871,0.5126168,0.0008685244,0.00006094818,0.0002811459,0.00001761985,0.000008171194,0.0005578948],"genre_scores_gemma":[0.653596,0.0000303228,0.3448182,0.001156307,0.0000317144,0.0001558126,0.00006819792,0.0000227821,0.0001206196],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1682012,"threshold_uncertainty_score":0.4175172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009160635788811126,"score_gpt":0.3601625901627014,"score_spread":0.3510019543738903,"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."}}