{"id":"W4403588510","doi":"10.17816/rjls611108","title":"Federal Territory: Constitutional and Legal Regulation Development","year":2024,"lang":"en","type":"article","venue":"Russian Journal of Legal Studies (Moscow)","topic":"Legal and Policy Issues","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Constitutional review; Political science; Law; Law and economics; Sociology; Constitution","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007211849,0.0001436142,0.0002702262,0.0001228742,0.001015127,0.0004225411,0.0001296755,0.00006603393,0.0000739853],"category_scores_gemma":[0.000109668,0.0001079797,0.00008273993,0.000158201,0.0009695252,0.0008329151,0.00004971366,0.0002542295,0.00002170414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002742488,"about_ca_system_score_gemma":0.0008462503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003768035,"about_ca_topic_score_gemma":0.0005723628,"domain_scores_codex":[0.9985151,0.0001256076,0.0004159808,0.0001486723,0.0005168361,0.0002777854],"domain_scores_gemma":[0.9994542,0.0001107961,0.0001253146,0.00004630499,0.00009380825,0.0001695605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000396672,0.00002878258,0.001764336,0.00005860733,0.0003394631,0.000228846,0.01490146,0.000007623248,0.00007584269,0.9605404,0.01581857,0.00619638],"study_design_scores_gemma":[0.0002114988,0.0000725322,0.003910724,0.0002862742,0.00003056825,0.0001138467,0.003430458,0.000006635181,0.0001427392,0.002265,0.9893838,0.0001459711],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4278899,0.08035348,0.000929005,0.1680493,0.01133578,0.0004878273,0.00002941708,0.0002257492,0.3106996],"genre_scores_gemma":[0.9895386,0.00050563,0.001054413,0.0001650868,0.002373226,0.000002757828,0.000001137635,0.000007055677,0.006352065],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9735652,"threshold_uncertainty_score":0.7807639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04258708166374456,"score_gpt":0.35625569358137,"score_spread":0.3136686119176255,"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."}}