{"id":"W2789726402","doi":"10.15562/tcp.43","title":"IsomiRs: A New Approach to Cancer Study","year":2017,"lang":"en","type":"article","venue":"The Cancer Press","topic":"Advanced biosensing and bioanalysis techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001637089,0.0008756596,0.0009778063,0.002019396,0.0006190806,0.002264649,0.0008919223,0.001142673,0.003279515],"category_scores_gemma":[0.0008066518,0.0004046446,0.0006057711,0.0009350521,0.001673538,0.002381265,0.001686591,0.003939067,0.001713363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007177657,"about_ca_system_score_gemma":0.0007026571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000223449,"about_ca_topic_score_gemma":0.000301353,"domain_scores_codex":[0.9992288,0.0002202684,0.00004264624,0.0001483526,0.000299894,0.00006000334],"domain_scores_gemma":[0.9995629,0.0001311677,0.00004375829,0.000104334,0.00008573318,0.00007216897],"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":[0.0003640516,0.0001238457,0.0006086199,0.0005665746,0.00008205914,0.0002647407,0.0002330489,0.0003186909,0.7633393,0.09754126,0.007688971,0.1288688],"study_design_scores_gemma":[0.00007514779,0.0005296543,0.001654696,0.0001178922,0.0001144859,0.002126769,0.0002360216,0.004394181,0.5037896,0.07034592,0.4165068,0.0001088432],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05403713,0.1619312,0.7172735,0.01408654,0.008573421,0.0002541318,0.001040681,0.004034326,0.03876906],"genre_scores_gemma":[0.3395031,0.1112406,0.4637679,0.007844932,0.005381982,0.0007791796,0.00150386,0.0009159012,0.06906244],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003279515,"threshold_uncertainty_score":0.01097107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04725338861613743,"score_gpt":0.3680538642428198,"score_spread":0.3208004756266824,"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."}}