{"id":"W3110946574","doi":"10.1093/oxfordhb/9780198840534.013.44","title":"Law, Science, and Technologies","year":2020,"lang":"en","type":"book-chapter","venue":"Oxford University Press eBooks","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Normative; Sociology; Legal pluralism; Sociology of law; Political science; Epistemology; Legal profession; Social science; Law; Legal realism","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003193631,0.0003824585,0.0004228707,0.002438007,0.003873575,0.0125229,0.0007014595,0.003363758,0.008832332],"category_scores_gemma":[0.004642276,0.0002120992,0.0002321118,0.002305451,0.04498934,0.009114416,0.00488478,0.003823477,0.0008723634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006769835,"about_ca_system_score_gemma":0.004867258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005188261,"about_ca_topic_score_gemma":0.002920596,"domain_scores_codex":[0.9951771,0.00279005,0.0002207082,0.0005842927,0.0009934412,0.0002343708],"domain_scores_gemma":[0.9932542,0.004577978,0.0005274542,0.0006007477,0.0006349528,0.0004045535],"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":[0.000002364227,0.000005841309,0.0001353575,0.0000294398,0.000001879236,0.00002668679,0.001509974,0.0001157371,0.00004571669,0.9917048,0.00233469,0.004087457],"study_design_scores_gemma":[0.000004466242,0.00001244219,0.0003997414,0.0002957154,0.000003889973,0.00005970389,0.003387955,0.0003378461,0.0001025492,0.8346847,0.160702,0.000009053233],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02309179,0.04671951,0.019897,0.1371025,0.001250096,0.00004854005,0.0001871513,0.000124333,0.7715791],"genre_scores_gemma":[0.9204314,0.01850501,0.006784333,0.007857923,0.001397278,0.0001395819,0.0001224932,0.00007197219,0.04469015],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9961264,"threshold_uncertainty_score":0.04911882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04944202384932681,"score_gpt":0.2690680271381473,"score_spread":0.2196260032888205,"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."}}