{"id":"W4382358632","doi":"10.1017/9781009157896.016","title":"Annex II: Models","year":2023,"lang":"en","type":"other","venue":"","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Center for Neuroscience and Regenerative Medicine; Universität Bremen; Universiteit Utrecht; University of Bristol; Universität Innsbruck; Uppsala Universitet; University of Reading; University of Crete; Eidgenössische Technische Hochschule Zürich; Met Office; Université de Fribourg; Trent University; University of Washington; International Centre for Integrated Mountain Development; University of Canterbury; Asia University; University of Exeter","keywords":"Computer science; Content (measure theory); Action (physics); Database; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00309503,0.002595944,0.001051301,0.003559364,0.0009407986,0.005696641,0.002855453,0.001995237,0.4447873],"category_scores_gemma":[0.02063873,0.0009795541,0.002111657,0.004503198,0.0004880548,0.004428145,0.001727677,0.002544643,0.2183903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00249386,"about_ca_system_score_gemma":0.004065943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01810431,"about_ca_topic_score_gemma":0.0109247,"domain_scores_codex":[0.9975544,0.0007974997,0.0002259744,0.0003434294,0.0009088016,0.0001700634],"domain_scores_gemma":[0.9933728,0.003030893,0.0004675134,0.001036725,0.001932634,0.0001594816],"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":[0.0001132172,0.00003822159,0.0003545294,0.001453893,0.00005480276,0.0000901149,0.00009111978,0.005642408,0.0001596182,0.05854456,0.8969719,0.03648561],"study_design_scores_gemma":[0.0000334125,0.00002584377,0.0003956826,0.001194579,0.00003425484,0.00004633075,0.00008202902,0.001775828,0.0003000085,0.02362417,0.9724611,0.00002665892],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001214466,0.005068122,0.038271,0.006492339,0.002401792,0.00182437,0.4599912,0.004555266,0.4801815],"genre_scores_gemma":[0.03396575,0.01656604,0.0620673,0.005382472,0.001567525,0.007185813,0.3790081,0.00744191,0.486815],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5552127,"threshold_uncertainty_score":0.7919436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04981627582657121,"score_gpt":0.3292246414514867,"score_spread":0.2794083656249154,"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."}}