{"id":"W3207134617","doi":"10.2139/ssrn.3931256","title":"Legal Priorities Research: A Research Agenda","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Flourishing; Multidisciplinary approach; Humanity; Engineering ethics; Political science; Corporate governance; Theme (computing); Prioritization; Space (punctuation); Sociology; Environmental ethics; Management science; Psychology; Law; Computer science; Business; Social psychology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.05003162,0.00009403089,0.0001712777,0.0002482572,0.005515819,0.001306146,0.0006050231,0.0002428398,0.0002234328],"category_scores_gemma":[0.008527333,0.00009450349,0.000140087,0.001183083,0.001091173,0.0007296387,0.0001474576,0.01028329,0.0001106301],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002631657,"about_ca_system_score_gemma":0.05013834,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008495338,"about_ca_topic_score_gemma":0.1123556,"domain_scores_codex":[0.9878986,0.003480252,0.0002519578,0.0002476333,0.002576774,0.005544771],"domain_scores_gemma":[0.9952621,0.0009372542,0.0000551166,0.0002018763,0.003250625,0.0002930215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001405513,0.00004719157,0.0001380819,0.000003483912,0.00004954982,0.00007033176,0.0148955,4.472427e-7,0.0002259079,0.9739035,0.003850313,0.006801651],"study_design_scores_gemma":[0.0001382065,0.0001155167,0.00007371344,0.00001932921,0.000003334897,0.00003395801,0.1021844,7.281292e-7,0.00007216184,0.5857411,0.3115411,0.00007637703],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2850327,0.01829656,0.0001169796,0.1470321,0.0009079798,0.0002668879,0.000004485878,0.00007451932,0.5482677],"genre_scores_gemma":[0.8946707,0.03331707,0.00005552293,0.000248107,0.002122848,0.00000409386,0.00000107642,0.00002039412,0.06956018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.609638,"threshold_uncertainty_score":0.9998243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2678368403384869,"score_gpt":0.5220146790567782,"score_spread":0.2541778387182914,"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."}}