{"id":"W6913064383","doi":"10.5281/zenodo.6092712","title":"PowerGenome/PowerGenome: v0.5.4","year":2022,"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":"Impact","funders":"","keywords":"Python (programming language); Table (database); Operator (biology); Code (set theory); Set (abstract data type)","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":[0.001187329,0.00292515,0.001252134,0.001665521,0.001003202,0.002700534,0.004323955,0.001637016,0.2213319],"category_scores_gemma":[0.00571125,0.002939883,0.002618031,0.001587288,0.0004986808,0.004406227,0.003200736,0.003190673,0.25472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001031524,"about_ca_system_score_gemma":0.001151688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007650003,"about_ca_topic_score_gemma":0.006685688,"domain_scores_codex":[0.9992024,0.0000725159,0.00005137031,0.0002040364,0.0003354352,0.0001343164],"domain_scores_gemma":[0.9985294,0.000295489,0.00006757391,0.0004564641,0.0005555721,0.0000954362],"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":[0.000253369,0.00004295702,0.001163546,0.00056338,0.00005950209,0.00008733229,0.0001551926,0.0009216404,0.002212321,0.001211583,0.9671232,0.02620601],"study_design_scores_gemma":[0.0001930692,0.00004925195,0.002069924,0.0001973009,0.00007524249,0.0001668211,0.00008938634,0.00418959,0.01335032,0.004416599,0.9750764,0.000126065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001330919,0.0003578568,0.03610541,0.0003872243,0.0003687645,0.000147891,0.1016165,0.8338982,0.02578731],"genre_scores_gemma":[0.01116286,0.0004337468,0.03308452,0.001205063,0.00008761225,0.0005512175,0.3102913,0.609779,0.03340457],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2213319,"threshold_uncertainty_score":0.7404288,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02669692814785878,"score_gpt":0.2417591923764744,"score_spread":0.2150622642286156,"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."}}