{"id":"W4393500228","doi":"10.5281/zenodo.4473349","title":"SomaticSiMu Provided Datasets","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Geography","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":[0.001688364,0.001937901,0.001049065,0.002041713,0.0009996721,0.001522503,0.003803168,0.002278067,0.04983028],"category_scores_gemma":[0.006646138,0.0006206169,0.001679666,0.003412513,0.0004713997,0.001010106,0.00141324,0.001854056,0.04356618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001507555,"about_ca_system_score_gemma":0.001853665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008555422,"about_ca_topic_score_gemma":0.02237655,"domain_scores_codex":[0.9990218,0.0002988074,0.00007640802,0.0002507189,0.0002458857,0.0001063516],"domain_scores_gemma":[0.9984413,0.000605809,0.00007592089,0.0004231161,0.0003266848,0.0001271896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002210964,0.00009372202,0.001731263,0.0006419208,0.0001330139,0.00006715708,0.00003241403,0.01355991,0.0003918744,0.001835213,0.9752969,0.00599547],"study_design_scores_gemma":[0.0009804657,0.0001123924,0.004581457,0.0002509998,0.0001246738,0.0002392002,0.0001025211,0.02994405,0.002779887,0.01248308,0.9483169,0.00008436047],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002620454,0.0002460478,0.001592271,0.000246543,0.0001102369,0.00009055367,0.9882288,0.003174403,0.00369069],"genre_scores_gemma":[0.00281009,0.0000712829,0.002609205,0.0001329612,0.00000998522,0.0002939249,0.9925944,0.0003694597,0.001108708],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04983028,"threshold_uncertainty_score":0.1666989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03542594579845969,"score_gpt":0.2629485100220426,"score_spread":0.2275225642235829,"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."}}