{"id":"W6968229880","doi":"10.5281/zenodo.14025522","title":"bilby-dev/bilby: v2.1.2","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Semtech (Canada); Canadian Institute for Theoretical Astrophysics","funders":"","keywords":"Prior probability; Scripting language; Maximum likelihood; Bayesian probability; Term (time)","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":[0.003629621,0.004475638,0.002430937,0.002443708,0.001208046,0.006151575,0.008164658,0.003168104,0.3727496],"category_scores_gemma":[0.01615789,0.004137273,0.003038966,0.001874374,0.001357634,0.005282361,0.006448833,0.006406986,0.4928745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001856258,"about_ca_system_score_gemma":0.002595335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006199021,"about_ca_topic_score_gemma":0.005080394,"domain_scores_codex":[0.9977401,0.0004433839,0.000157519,0.0004387821,0.0008837281,0.000336473],"domain_scores_gemma":[0.9965161,0.0008635208,0.0001972214,0.001023211,0.001095371,0.0003045342],"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":[0.0001749353,0.00003009817,0.0004289077,0.0003845711,0.000071177,0.00007047132,0.00008728735,0.001111835,0.0009076311,0.004150826,0.9771267,0.01545568],"study_design_scores_gemma":[0.0003620785,0.0000541397,0.0009377649,0.0002713175,0.00006501648,0.000423326,0.00006130509,0.01680714,0.0151553,0.02311696,0.9424932,0.0002523556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0004591305,0.0002503386,0.06600926,0.0003746367,0.0003029256,0.0001312859,0.03587211,0.8839734,0.01262694],"genre_scores_gemma":[0.007344214,0.0002180158,0.03145422,0.0007080099,0.00009128083,0.0004542664,0.06645679,0.8757557,0.01751744],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.3727496,"threshold_uncertainty_score":0.8946966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03873256885702182,"score_gpt":0.2621158268035851,"score_spread":0.2233832579465633,"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."}}