{"id":"W4398753378","doi":"10.7910/dvn/kovt5y/lczzvh","title":"Replication materials outline.pdf","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"International Law and Human Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Replication (statistics); Pluralism (philosophy); Political science; Law; Legal pluralism; Criminology; Sociology; Biology; Epistemology; Philosophy; Comparative law; Virology; 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007501235,0.002048408,0.002254933,0.006522452,0.001772379,0.008038281,0.004097658,0.002740802,0.5292217],"category_scores_gemma":[0.0686347,0.001280552,0.001864221,0.01035091,0.001306267,0.003760141,0.004226493,0.002703563,0.4603879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001787132,"about_ca_system_score_gemma":0.004558893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284087,"about_ca_topic_score_gemma":0.01997421,"domain_scores_codex":[0.9948265,0.001492999,0.0007688049,0.001446908,0.0009187443,0.0005459478],"domain_scores_gemma":[0.9754575,0.007886935,0.001102516,0.009283451,0.004851727,0.001417865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002591671,0.000007230588,0.000149185,0.0002205804,0.00001248447,0.000004549753,0.000009319645,0.00004019226,0.00001657588,0.0003363761,0.9983158,0.0008618166],"study_design_scores_gemma":[0.0004532509,0.0000180325,0.001107993,0.0004539753,0.00002608584,0.00002796011,0.00007607562,0.0001695339,0.0001423287,0.002604326,0.9948882,0.00003224223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003376634,0.00002615573,0.0001041859,0.0001757467,0.0001027548,0.00003963824,0.9978939,0.00045683,0.001167053],"genre_scores_gemma":[0.0005859469,0.00007608783,0.0006610951,0.000265807,0.00006831993,0.0007542649,0.9928867,0.0007476886,0.003954175],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.4707783,"threshold_uncertainty_score":0.6715081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0328373677682853,"score_gpt":0.316154481324194,"score_spread":0.2833171135559087,"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."}}