{"id":"W4391929738","doi":"10.1109/bibe60311.2023.00009","title":"Domain Adaptation Applied to microRNA Target Prediction","year":2023,"lang":"en","type":"article","venue":"","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Domain adaptation; Computer science; Adaptation (eye); Domain (mathematical analysis); microRNA; Artificial intelligence; Mathematics; Biology; Neuroscience","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":[0.002466046,0.0009787994,0.0009423898,0.0009594177,0.000394387,0.000741988,0.0009161762,0.000912759,0.001386156],"category_scores_gemma":[0.005430079,0.0003295263,0.0008231049,0.001136924,0.0004817873,0.0008665267,0.001278115,0.001831486,0.0009159004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004146073,"about_ca_system_score_gemma":0.0008089943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002878909,"about_ca_topic_score_gemma":0.001969826,"domain_scores_codex":[0.9988542,0.0005477694,0.00006840248,0.0003067593,0.0001338086,0.00008908077],"domain_scores_gemma":[0.9969213,0.001957124,0.0001564688,0.0003960888,0.0004557685,0.0001132864],"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":[0.0006121226,0.0003121409,0.007436896,0.0002336218,0.0003059417,0.0003269539,0.0002206003,0.4738401,0.03978664,0.002503127,0.005145758,0.4692761],"study_design_scores_gemma":[0.00001792116,0.00009791059,0.001353671,0.00001096234,0.00002213365,0.00008557001,0.00003981201,0.9856116,0.007809628,0.003111617,0.00181882,0.00002038729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1462203,0.002225176,0.8415647,0.0004389235,0.0002696658,0.0001786313,0.0006882967,0.005011789,0.003402491],"genre_scores_gemma":[0.7244823,0.0007714106,0.2698085,0.0004020947,0.0001657826,0.0002404143,0.00205069,0.0001844635,0.001894324],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002878909,"threshold_uncertainty_score":0.01304191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009633981144177971,"score_gpt":0.2291456038751688,"score_spread":0.2195116227309909,"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."}}