{"id":"W3185928768","doi":"","title":"Vavilov's Rule of Law: A Diceyan Model and Its Implications","year":2020,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Law; Presumption; Supreme court; Political science; Precedent; Judicial review; Rule of law; Consistency (knowledge bases); Common law; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.009666569,0.0008295595,0.001543972,0.003530891,0.00831603,0.01021103,0.003966612,0.01299853,0.007818796],"category_scores_gemma":[0.01554111,0.0008095237,0.00199646,0.002397072,0.0304633,0.0143942,0.004418883,0.01346403,0.002246244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01359059,"about_ca_system_score_gemma":0.00986596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03684951,"about_ca_topic_score_gemma":0.0221467,"domain_scores_codex":[0.9921076,0.002126516,0.0003711588,0.00187084,0.002407106,0.001116787],"domain_scores_gemma":[0.9930628,0.004141306,0.0004266676,0.0007107431,0.001304656,0.0003537622],"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":[0.000001378659,0.000001924733,0.00001205675,0.000003100566,6.540387e-7,0.00001499251,0.00004635052,0.0000748528,0.000004833886,0.9987055,0.0007835053,0.0003508684],"study_design_scores_gemma":[0.00000794252,0.000004222185,0.00002813095,0.00001940252,0.000001773416,0.00002253476,0.00002292144,0.0004708742,0.00001940696,0.987815,0.01158094,0.000006864017],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01280372,0.0110123,0.1186114,0.1046167,0.002600349,0.0002044228,0.0005055544,0.0001238819,0.7495216],"genre_scores_gemma":[0.7238895,0.008852698,0.07584024,0.04037675,0.006215617,0.0007258017,0.000283227,0.0002829247,0.1435333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03684951,"threshold_uncertainty_score":0.09860706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03359421177747729,"score_gpt":0.2983207533392587,"score_spread":0.2647265415617814,"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."}}