{"id":"W4389050434","doi":"10.1017/lsi.2023.60","title":"Streets, Suites, and States: John Hagan’s Contributions to the Study of Law, Power, and Inequality","year":2023,"lang":"en","type":"article","venue":"Law & Social Inquiry","topic":"Wildlife Conservation and Criminology Analyses","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Global Affairs Canada","funders":"University of Toronto; Northwestern University; American Bar Foundation","keywords":"Injustice; Principle of legality; Power (physics); Sociology; Normative; Inequality; Everyday life; Politics; State (computer science); Law; Criminology; Economic Justice; Social inequality; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0003795582,0.00007798705,0.0001419648,0.00001032783,0.0004723671,0.00002485958,0.0001104871,0.00005396133,0.0001245663],"category_scores_gemma":[0.00008683267,0.00006096031,0.00002156834,0.0002090526,0.0007090674,0.0000888333,0.0002283183,0.00008396312,0.00004231653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655802,"about_ca_system_score_gemma":0.000007270346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005172174,"about_ca_topic_score_gemma":0.01350701,"domain_scores_codex":[0.999155,0.0001687187,0.0001835356,0.0001785149,0.000151131,0.0001630315],"domain_scores_gemma":[0.9995533,0.0001875197,0.00005553168,0.000128331,0.00002063986,0.00005466675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008249526,0.0005670587,0.6227891,0.0000176328,0.0001789713,0.00001498993,0.1098645,0.00007985625,0.0007908423,0.2068137,0.05696671,0.001834193],"study_design_scores_gemma":[0.0005359752,0.0001693576,0.939755,0.000004076354,0.00005918234,7.479922e-7,0.02675332,0.00003548589,0.00009271739,0.004308553,0.02815107,0.000134475],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938842,0.00004778926,0.0000183841,0.005101214,0.00007282511,0.0002139761,0.00006294644,0.00003887127,0.0005597653],"genre_scores_gemma":[0.9968604,0.00002391922,0.000005991433,0.002929747,0.00003316265,0.00001949094,0.00001526727,0.000004495697,0.0001075681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.316966,"threshold_uncertainty_score":0.7818815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08064293453364006,"score_gpt":0.3644632183474201,"score_spread":0.28382028381378,"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."}}