{"id":"W2258189201","doi":"10.1017/s0841820900004872","title":"What can Kant Teach Us about Legal Classification?","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Law & Jurisprudence","topic":"Legal principles and applications","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Hegelianism; Epistemology; Set (abstract data type); Focus (optics); Law; Philosophy; Political science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0008498313,0.0001038519,0.0001566484,0.00009186369,0.00107414,0.0008371584,0.000851644,0.0001257354,0.0003454036],"category_scores_gemma":[0.0001593119,0.00009850249,0.0000997809,0.0002340331,0.0006857033,0.0009795401,0.00001311778,0.0006545319,0.00004872585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002001784,"about_ca_system_score_gemma":0.004002444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1618227,"about_ca_topic_score_gemma":0.8746646,"domain_scores_codex":[0.9985998,0.00007560681,0.0003616083,0.0001626146,0.0003682256,0.0004320913],"domain_scores_gemma":[0.9978225,0.00007265952,0.000261341,0.0002773402,0.0003895364,0.001176625],"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":[0.000001912568,0.0000163031,0.005044144,0.000003023524,0.00001096994,0.00004680723,0.004409056,0.00000583054,0.00107588,0.984397,0.002690458,0.002298625],"study_design_scores_gemma":[0.00009398726,0.00001885521,0.02278687,0.00004081491,0.00001698613,0.00004124411,0.001385546,0.00001130173,0.000157357,0.001758349,0.9735562,0.0001325086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8694924,0.0006997039,0.0001119045,0.04314483,0.003113736,0.0002546727,0.00003480826,0.00002253019,0.08312546],"genre_scores_gemma":[0.9955074,0.0001593073,0.0004351139,0.00109028,0.0008896405,0.000006097344,0.000001596936,0.00001157881,0.00189894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9826387,"threshold_uncertainty_score":0.8437588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02507928804582306,"score_gpt":0.3210244308936607,"score_spread":0.2959451428478377,"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."}}