{"id":"W6929973923","doi":"10.5281/zenodo.10013996","title":"gwastro/pycbc: v2.4.0 release of PyCBC","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","funders":"","keywords":"Container (type theory); Singularity; Shell (structure); Virtual machine","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":[0.003466043,0.00341587,0.002121654,0.002580001,0.001687116,0.005940394,0.005848524,0.002156431,0.2296117],"category_scores_gemma":[0.01237031,0.002756983,0.002457459,0.002155658,0.001084244,0.005410288,0.006332968,0.006175963,0.385289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002156402,"about_ca_system_score_gemma":0.004021277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084503,"about_ca_topic_score_gemma":0.004528348,"domain_scores_codex":[0.9972165,0.0002823653,0.0001820877,0.0005657919,0.001221842,0.0005314661],"domain_scores_gemma":[0.9953935,0.0004859059,0.0001931716,0.00185576,0.001409232,0.0006624457],"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":[0.00031744,0.00004342004,0.0005129501,0.0003244661,0.00004876547,0.0000955205,0.0001032801,0.000544392,0.003239305,0.0040881,0.9654737,0.02520862],"study_design_scores_gemma":[0.0001117593,0.00001987028,0.0007164308,0.0001103459,0.00002835362,0.0001613095,0.00002723178,0.001903379,0.006677271,0.003245841,0.9868848,0.0001134736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001430629,0.0005117488,0.06784394,0.0007602257,0.0009275916,0.0002200653,0.06203934,0.8119999,0.05426657],"genre_scores_gemma":[0.01014229,0.0005511764,0.02616742,0.0009748685,0.000209129,0.0006223674,0.1665089,0.743294,0.05152986],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2296117,"threshold_uncertainty_score":0.7681276,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02243578528887734,"score_gpt":0.27553983203976,"score_spread":0.2531040467508826,"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."}}