{"id":"W6930760245","doi":"10.5281/zenodo.14511245","title":"decargroup/dkpy","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Selection (genetic algorithm); Order (exchange); Documentation; Inheritance (genetic algorithm); Process (computing); Matrix (chemical analysis)","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002127851,0.0002284739,0.000181752,0.0003885329,0.0006340948,0.001076614,0.002945938,0.0001317142,0.009228615],"category_scores_gemma":[0.00008440296,0.0002387289,0.0000731091,0.001021928,0.0001148109,0.0001690219,0.002779105,0.0004173694,0.09150288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001096975,"about_ca_system_score_gemma":0.000003143078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006669924,"about_ca_topic_score_gemma":3.997247e-7,"domain_scores_codex":[0.9980843,0.0001358808,0.0002062522,0.0008125778,0.0003705936,0.0003904118],"domain_scores_gemma":[0.9983372,0.00001567857,0.0001244427,0.001204805,0.0001384984,0.0001793885],"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":[0.000001304458,0.00002550862,2.243654e-8,0.00004335008,0.00002433649,0.00001488859,0.00009029867,0.000008472971,0.000100268,0.06664102,0.8660991,0.06695142],"study_design_scores_gemma":[0.000102296,0.00004868397,0.000002691675,0.00007606257,0.00001018863,0.00008812782,0.000009114552,0.0007036858,0.00003370503,0.003021198,0.9956636,0.0002405998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000001169273,0.0007080865,0.2067921,0.0008081578,0.000236809,0.0004016883,0.0001063232,0.00493789,0.7860078],"genre_scores_gemma":[0.001897156,0.0007638155,0.02004561,0.0005678377,0.001198706,3.167625e-7,0.001474934,0.02407268,0.9499789],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1867465,"threshold_uncertainty_score":0.9999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03134734046735241,"score_gpt":0.2643391662790591,"score_spread":0.2329918258117067,"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."}}