{"id":"W6894097483","doi":"10.5281/zenodo.581703","title":"feelpp/feelpp: v0.104.0","year":2017,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Canadian Military Institute","funders":"","keywords":"Finite element method; Natural language; Set (abstract data type); Element (criminal law); Identification (biology)","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":[0.001967593,0.003821674,0.001942212,0.002195332,0.0009081924,0.003239584,0.008155474,0.003501387,0.2884842],"category_scores_gemma":[0.005595443,0.002621362,0.002163162,0.001488059,0.001113303,0.003475316,0.005051249,0.004122293,0.3363278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009436893,"about_ca_system_score_gemma":0.001465184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003250932,"about_ca_topic_score_gemma":0.003849962,"domain_scores_codex":[0.9983499,0.0001811428,0.0001617019,0.0002586541,0.0008139955,0.0002345049],"domain_scores_gemma":[0.9985685,0.000345678,0.00008518447,0.0003526652,0.000477385,0.0001705426],"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":[0.0002987712,0.00007259074,0.0002757911,0.00121648,0.00007298181,0.0001553327,0.0001360741,0.004435522,0.005656565,0.009736558,0.9100441,0.06789929],"study_design_scores_gemma":[0.0004346916,0.00007985985,0.0006112854,0.000479942,0.0000501676,0.0004321059,0.00005011906,0.03060338,0.02295443,0.01838632,0.9256806,0.0002371184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.0009959566,0.0004787371,0.2381985,0.0003053538,0.0003453687,0.0002418884,0.04185672,0.6793597,0.03821791],"genre_scores_gemma":[0.01568301,0.0005692237,0.1081791,0.0006643067,0.0001594135,0.001134247,0.1132496,0.687612,0.07274903],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.2884842,"threshold_uncertainty_score":0.9650757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04378631550771816,"score_gpt":0.2668496068501059,"score_spread":0.2230632913423878,"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."}}