{"id":"W6983267018","doi":"","title":"Machine learning approaches for the prediction of binding sites for RNA binding proteins","year":2018,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"RNA-binding protein; Binding site; Artificial neural network; Deep learning; RNA; Plasma protein binding; Fraction (chemistry)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001335126,0.001226971,0.0008776509,0.001795431,0.0004945408,0.000716344,0.001483079,0.001341576,0.002519166],"category_scores_gemma":[0.00387386,0.0005572538,0.0009141362,0.001583599,0.0005263604,0.0009419175,0.0008114779,0.002317523,0.0009361334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590826,"about_ca_system_score_gemma":0.001083444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01252062,"about_ca_topic_score_gemma":0.01275856,"domain_scores_codex":[0.999503,0.000173737,0.00003116549,0.0001423059,0.00008688594,0.00006287394],"domain_scores_gemma":[0.9984356,0.001137076,0.000103931,0.00008455658,0.0001790054,0.00005989261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009582305,0.0001613724,0.004520596,0.0001251815,0.000119516,0.00007689663,0.0000497576,0.8325332,0.00143296,0.006734759,0.007024093,0.1471258],"study_design_scores_gemma":[0.000005944446,0.000005546121,0.0003143327,0.000006241882,0.000004244348,0.000005416771,0.000005744552,0.9927294,0.0002266605,0.006308618,0.000384695,0.000003129431],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1129322,0.005958294,0.8679322,0.00228071,0.0002019123,0.0001180707,0.002407095,0.002596897,0.005572598],"genre_scores_gemma":[0.6856078,0.003095295,0.2933342,0.001020725,0.0004034273,0.00050328,0.007470577,0.0002426297,0.008322137],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01252062,"threshold_uncertainty_score":0.02489549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1003811668183833,"score_gpt":0.3032044401669803,"score_spread":0.202823273348597,"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."}}