{"id":"W6929150560","doi":"10.48448/py3k-mr20","title":"Eigenpruning","year":2024,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Interpretability; Task (project management); Computation; Path (computing); Set (abstract data type); Integer (computer science)","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":[0.001168576,0.001782319,0.0009847854,0.001206644,0.0007446748,0.001721354,0.00227213,0.001616963,0.02300964],"category_scores_gemma":[0.008309831,0.0008389686,0.001362442,0.0008105877,0.0006154727,0.002141886,0.002409787,0.001961463,0.01004485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870486,"about_ca_system_score_gemma":0.00130902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003941833,"about_ca_topic_score_gemma":0.008183969,"domain_scores_codex":[0.9991695,0.0001800283,0.00005095316,0.0002896082,0.0002030527,0.0001068747],"domain_scores_gemma":[0.9988789,0.0004352305,0.00007071117,0.0003768769,0.0001777996,0.00006049418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004680662,0.000297683,0.005199731,0.0005073733,0.0002783805,0.0004518505,0.0004735355,0.168689,0.02064101,0.02684283,0.08402816,0.6921223],"study_design_scores_gemma":[0.00006134716,0.00005124321,0.0004763292,0.00003742728,0.00002491744,0.0001294777,0.00006082979,0.9425349,0.008342392,0.03141917,0.01683565,0.00002622939],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01443586,0.000298774,0.9294589,0.0004007345,0.0002901512,0.0001230401,0.0009567608,0.04839708,0.005638724],"genre_scores_gemma":[0.2064862,0.0002135483,0.7644752,0.0008272685,0.0001325471,0.0004642968,0.004219946,0.009765204,0.01341572],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02300964,"threshold_uncertainty_score":0.07697487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02742593655537814,"score_gpt":0.3639821669831431,"score_spread":0.336556230427765,"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."}}