{"id":"W4398683514","doi":"10.7910/dvn/n0s7dn","title":"hou00201c00013","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Legal case studies and regulations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001169387,0.00148587,0.001153179,0.003927005,0.001449869,0.005297619,0.002055906,0.002012628,0.4590263],"category_scores_gemma":[0.009589976,0.0006941404,0.0008691012,0.00797715,0.0005683982,0.001735197,0.002628011,0.001741649,0.5277967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002469416,"about_ca_system_score_gemma":0.003227885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08810569,"about_ca_topic_score_gemma":0.1296561,"domain_scores_codex":[0.9990956,0.0001386495,0.0001019247,0.0002253131,0.0002224018,0.0002161556],"domain_scores_gemma":[0.9962294,0.0009732528,0.0003393338,0.0006718499,0.001339707,0.0004465428],"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":[0.00001529668,0.000002577578,0.0001456997,0.0001236676,0.000002483787,0.000003807473,0.000007672429,0.00001523767,0.000007965785,0.00022125,0.9985777,0.0008766661],"study_design_scores_gemma":[0.00007742134,0.000004386347,0.001330773,0.0001865239,0.00000426673,0.00001039394,0.00004384575,0.00005020464,0.00005004559,0.0004559887,0.997778,0.000008091552],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003219015,0.00005328031,0.00002182114,0.0001193603,0.00003972391,0.000005592994,0.9969427,0.0001656412,0.002619636],"genre_scores_gemma":[0.0003601694,0.0001223324,0.0001225218,0.000197662,0.00002809799,0.00006215635,0.9915325,0.0002063933,0.007368133],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5409737,"threshold_uncertainty_score":0.7716333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0304249734286001,"score_gpt":0.3060700209838761,"score_spread":0.275645047555276,"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."}}