{"id":"W3208855115","doi":"10.5281/zenodo.4556907","title":"gwastro/pycbc: 1.18.0 release of PyCBC","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada)","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002877688,0.00008638664,0.0001654903,0.00009744849,0.0004388964,0.00008252682,0.0003007305,0.00005002774,0.02232604],"category_scores_gemma":[0.0008733648,0.00008687809,0.00006452948,0.0005062314,0.0001710343,0.00006267318,0.0004860942,0.0002482266,0.00142546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005565463,"about_ca_system_score_gemma":0.00001176369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000834136,"about_ca_topic_score_gemma":4.645274e-8,"domain_scores_codex":[0.9988299,0.000105996,0.0002482564,0.0002760498,0.0003259417,0.0002138609],"domain_scores_gemma":[0.998437,0.0000186649,0.00007774638,0.0005408205,0.0006905203,0.0002352087],"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":[0.00005733865,0.0004775538,0.00002174096,0.000177661,0.00004873007,0.00006803001,0.0002200673,0.00000281625,0.1164459,0.009904847,0.7794349,0.09314048],"study_design_scores_gemma":[0.0004904996,0.0001426239,0.0004809145,0.00008852207,0.00003345749,0.000269656,0.0001480283,0.0003606406,0.02043539,0.0002655835,0.9772041,0.0000806229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2009335,0.0004598129,0.06992939,0.03450646,0.0001650937,0.001607386,0.0004790941,0.003615546,0.6883037],"genre_scores_gemma":[0.9820108,0.0001966609,0.0102928,0.0005881466,0.0001603651,1.021792e-7,0.001639717,0.0008511445,0.004260295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7810773,"threshold_uncertainty_score":0.999352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0497654400994916,"score_gpt":0.3018542996332508,"score_spread":0.2520888595337592,"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."}}