{"id":"W4393591544","doi":"10.5281/zenodo.4831758","title":"barechey/PredictIO.data:","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Cancer Immunotherapy and Biomarkers","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00499925,0.002123112,0.002307296,0.004332759,0.001240815,0.007720824,0.005056234,0.006361979,0.4346088],"category_scores_gemma":[0.06332161,0.001911233,0.002040207,0.00629993,0.0013362,0.00523413,0.005411977,0.004871558,0.3724147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548435,"about_ca_system_score_gemma":0.005368386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01203275,"about_ca_topic_score_gemma":0.01253042,"domain_scores_codex":[0.9960266,0.0008556159,0.0004346301,0.001056965,0.001118442,0.0005077466],"domain_scores_gemma":[0.9801312,0.007724189,0.001623638,0.00533483,0.00324126,0.0019449],"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":[0.0002227286,0.00001534254,0.000754366,0.000743882,0.00004765796,0.0000285335,0.00002528543,0.0001464288,0.00006872112,0.0005951138,0.9926856,0.004666253],"study_design_scores_gemma":[0.0008710269,0.0000555519,0.001836686,0.0009288955,0.00004760578,0.00008369142,0.00005160171,0.0008969094,0.0005576209,0.005194343,0.989408,0.00006799783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002276559,0.0005112326,0.0005929984,0.003530132,0.0008341968,0.0001335605,0.9696254,0.01416415,0.01038066],"genre_scores_gemma":[0.0076043,0.00118928,0.003492468,0.006675635,0.0006230262,0.0009453372,0.9578558,0.01018465,0.0114295],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4346088,"threshold_uncertainty_score":0.8064619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06776145570151468,"score_gpt":0.2967323649363808,"score_spread":0.2289709092348661,"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."}}