{"id":"W6961190507","doi":"10.14288/1.0384032","title":"General correspondence","year":2019,"lang":"en","type":"article","venue":"Open Collections","topic":"DNA and Biological Computing","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Severance; Settlement (finance); Collective bargaining; Administration (probate law); Democracy; Labour law; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002126226,0.0008723842,0.001143145,0.003606155,0.002858054,0.003141211,0.001825714,0.002022461,0.9324514],"category_scores_gemma":[0.0137017,0.0006701787,0.0004768128,0.00469012,0.0003888174,0.002341229,0.001919759,0.001714283,0.8555977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021011,"about_ca_system_score_gemma":0.004121791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00925452,"about_ca_topic_score_gemma":0.01072191,"domain_scores_codex":[0.9981272,0.0002423168,0.0001544686,0.0002892904,0.0009273046,0.0002595238],"domain_scores_gemma":[0.9893053,0.002115357,0.0003069915,0.001281641,0.005558548,0.001432145],"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":[0.00001523737,0.00001091659,0.00006880866,0.00003080573,3.291933e-7,0.00001179983,0.00001429664,0.000005440242,0.00002470336,0.0002856618,0.9911322,0.008399821],"study_design_scores_gemma":[0.00001462732,0.00001154228,0.000618205,0.00004199393,8.591036e-7,0.00003027319,0.00007475006,0.00001876635,0.00004533323,0.0002640372,0.9988758,0.000003770691],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007600157,0.0003570911,0.00129454,0.00581506,0.00337156,0.001556704,0.1443231,0.004029749,0.8384923],"genre_scores_gemma":[0.001855172,0.0003825348,0.0007074627,0.002203369,0.0006380535,0.0008576495,0.04706609,0.001165356,0.9451243],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9324514,"threshold_uncertainty_score":0.09634984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01429233027562781,"score_gpt":0.2702972159579163,"score_spread":0.2560048856822885,"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."}}