{"id":"W2774263345","doi":"10.5281/zenodo.168403","title":"tferr/hIPNAT: hIPNAT 1.0.6","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Upload; Scripting language; Computer science; Software; World Wide Web; Programming language","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":[0.001838287,0.004112619,0.00185784,0.00242297,0.001113275,0.003980152,0.004488709,0.002232009,0.2919204],"category_scores_gemma":[0.00907099,0.002700135,0.002630139,0.001755229,0.0006554268,0.004436597,0.002424214,0.003295522,0.2514441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001196613,"about_ca_system_score_gemma":0.001560765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004625989,"about_ca_topic_score_gemma":0.00566758,"domain_scores_codex":[0.9988306,0.0001110779,0.0001967201,0.0003945086,0.0002847545,0.0001824562],"domain_scores_gemma":[0.997491,0.0005438247,0.000149646,0.0007527072,0.0008828412,0.000180103],"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":[0.0005816713,0.00004601726,0.001202011,0.0007947517,0.0001033005,0.0001575597,0.0002188316,0.0006461779,0.007423414,0.002076218,0.9320403,0.0547097],"study_design_scores_gemma":[0.0002840415,0.0001077601,0.003160194,0.0002893925,0.0001436757,0.0006545386,0.0001436378,0.01111826,0.05681467,0.008606259,0.9183023,0.0003753054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.00130894,0.0001888362,0.0570128,0.000203488,0.0007487602,0.0001181498,0.05240921,0.8797418,0.008267988],"genre_scores_gemma":[0.01866905,0.0002277052,0.1005094,0.0008968496,0.0003114594,0.0005718141,0.1486175,0.6997137,0.03048247],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2919204,"threshold_uncertainty_score":0.9765709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02643268292555895,"score_gpt":0.2733462459874433,"score_spread":0.2469135630618844,"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."}}