{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003778657,0.00279238,0.001206275,0.002575575,0.0009703189,0.008397506,0.004671841,0.00273985,0.7364651],"category_scores_gemma":[0.02356556,0.003196016,0.00155172,0.001898765,0.0006212977,0.007593278,0.003747037,0.004777521,0.771266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007988521,"about_ca_system_score_gemma":0.0009337292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944385,"about_ca_topic_score_gemma":0.001253136,"domain_scores_codex":[0.9978054,0.0002523093,0.0001361878,0.0003245369,0.001180379,0.0003010755],"domain_scores_gemma":[0.9876726,0.002536189,0.000376063,0.002489368,0.005497398,0.001428309],"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":[0.000130416,0.00001888221,0.00009716154,0.000119385,0.000006181228,0.0000322817,0.00005162898,0.00005240712,0.0006224034,0.0006100188,0.9704859,0.02777339],"study_design_scores_gemma":[0.0001534701,0.00007659598,0.0009211569,0.0001780974,0.00001881327,0.0001954615,0.00005066404,0.0006145399,0.002906122,0.002372663,0.9924119,0.0001004997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.001051556,0.0004465147,0.04423205,0.001721617,0.002406836,0.0004982566,0.02314618,0.6945039,0.2319931],"genre_scores_gemma":[0.007971421,0.0004368484,0.0180399,0.001731033,0.0009324292,0.0007075618,0.03890972,0.5759182,0.3553528],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.7364651,"threshold_uncertainty_score":0.3759005,"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."}}