{"id":"W2917889041","doi":"10.5281/zenodo.14911","title":"feelpp: Feel++ 0.100.0 Beta 2","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Military Institute","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007715666,0.0001199124,0.0001205091,0.0002175749,0.0009619124,0.001694005,0.002265745,0.00004647663,0.001886422],"category_scores_gemma":[0.0004458364,0.0001230897,0.0000395379,0.0009288372,0.00008723376,0.0007128543,0.001962992,0.0001537228,0.01625337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000997774,"about_ca_system_score_gemma":0.00000902883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009007133,"about_ca_topic_score_gemma":1.717109e-7,"domain_scores_codex":[0.9983143,0.0002386529,0.0002216903,0.0004054744,0.0005027227,0.0003172221],"domain_scores_gemma":[0.9981578,0.00001323304,0.00008997369,0.0007319568,0.0006670045,0.0003400046],"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":[0.000007738899,0.0001293267,0.000004378975,0.00001525649,0.00002195389,0.00002215073,0.001045328,0.00008331132,0.0002681933,0.1703852,0.74479,0.08322721],"study_design_scores_gemma":[0.0003759509,0.0001220955,0.00007561339,0.000009894452,0.000004959342,0.00007483684,0.0001245969,0.01095369,0.0002687558,0.0007422392,0.9870918,0.0001555065],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001274207,0.00009819043,0.6586673,0.003658384,0.0003123854,0.0002943493,0.0001128914,0.002460824,0.3331215],"genre_scores_gemma":[0.9549206,0.0001742759,0.01552495,0.003534056,0.0007536701,7.366801e-8,0.005115312,0.002845119,0.01713187],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9536465,"threshold_uncertainty_score":0.9993423,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08387944784165778,"score_gpt":0.294272060975161,"score_spread":0.2103926131335032,"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."}}