{"id":"W2959383315","doi":"10.23952/jnva.4.2020.2.02","title":"A stand-alone analysis of quasidensity","year":2020,"lang":"en","type":"article","venue":"Journal of Nonlinear and Variational Analysis","topic":"Optimization and Variational Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Environmental science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006122643,0.0001212304,0.0007745096,0.001208568,0.00007952933,0.00008545665,0.0003520693,0.0000566597,0.0001841124],"category_scores_gemma":[0.0002713052,0.00009940206,0.0007640297,0.007286827,0.00002799,0.0004417247,0.00008876815,0.0001231515,0.000002258026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002382528,"about_ca_system_score_gemma":0.0001595596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003805996,"about_ca_topic_score_gemma":0.00001707804,"domain_scores_codex":[0.997983,0.0001241243,0.0008648481,0.0002196999,0.0007019831,0.0001062767],"domain_scores_gemma":[0.9974399,0.0002533034,0.000911639,0.0001643658,0.001027453,0.0002033894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001373604,0.0004258915,0.1153309,0.00002746201,0.05528638,0.00002084143,0.002561239,0.7756493,0.0004697971,0.04873027,0.0002117042,0.001148832],"study_design_scores_gemma":[0.0003178608,0.00007146291,0.1133697,0.000002446567,0.008676781,0.000002637459,0.00003943904,0.8768529,0.00003875272,0.0003393088,0.0001965585,0.00009215149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02157119,0.0001758251,0.971661,0.006396712,0.0000287974,0.00002554994,0.00004752481,0.000009934059,0.00008341164],"genre_scores_gemma":[0.837797,0.0001263481,0.1612909,0.0005980292,0.0001167095,3.349938e-7,0.00003273246,0.000003474405,0.0000344168],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8162259,"threshold_uncertainty_score":0.4053499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007659111243199,"score_gpt":0.2562633243400708,"score_spread":0.2361867332276388,"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."}}