{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000159784,0.0001360715,0.0001420573,0.00001295843,0.0002998952,0.00009747803,0.0007635442,0.00005878738,0.000003830893],"category_scores_gemma":[0.00004207189,0.00008680499,0.00006367483,0.0000308648,0.00007262173,0.000004198218,0.000339494,0.00007775262,0.000001833979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001866523,"about_ca_system_score_gemma":0.00005599845,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725485,"about_ca_topic_score_gemma":0.0007918529,"domain_scores_codex":[0.9991425,0.00004185761,0.0001124162,0.0003912575,0.0001175811,0.0001943995],"domain_scores_gemma":[0.9985545,0.000003617168,0.0001036125,0.001197584,0.00006014529,0.00008056334],"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":[0.0007694119,0.0006257898,0.01095479,0.00003459219,0.001202817,0.000004332067,0.001448845,0.0006526413,0.6046519,0.00009242331,0.1962747,0.1832878],"study_design_scores_gemma":[0.000777371,0.0002066302,0.007656003,0.00003668465,0.0002565373,0.000003505809,0.0002299407,0.000143695,0.7860201,0.0001026874,0.2040944,0.0004724633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711595,0.00378025,0.005940391,0.003900664,0.0004257752,0.001629955,0.00007798362,0.0001007905,0.01298468],"genre_scores_gemma":[0.9899434,0.000435485,0.0008834591,0.0005031399,0.0006795949,0.000141411,0.000004277817,0.00001845374,0.007390801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1828153,"threshold_uncertainty_score":0.4120136,"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."}}