{"id":"W6958997318","doi":"10.7281/t1/bmathh/7ft2bh","title":"13_B2.tar.009","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"Legal and Regulatory Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Compression (physics); Object (grammar)","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":["metaepi_narrow","sts","open_science"],"consensus_categories":[],"category_scores_codex":[0.003465406,0.0002525606,0.0004746759,0.0005544686,0.00440527,0.000545752,0.005598938,0.0006988762,0.0008023277],"category_scores_gemma":[0.0007184925,0.0002627512,0.0002168609,0.001746995,0.001601982,0.000975216,0.003693918,0.001615454,0.0003206562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166393,"about_ca_system_score_gemma":0.003668597,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09563582,"about_ca_topic_score_gemma":0.02851419,"domain_scores_codex":[0.9914003,0.003545995,0.0002453643,0.001309207,0.002584874,0.0009142652],"domain_scores_gemma":[0.9943216,0.0004829973,0.0001626778,0.003608192,0.0007899085,0.0006346111],"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":[0.00003125863,0.0001695987,0.00007719026,0.00007163527,0.0002555495,0.002673228,0.0001911448,0.000001402453,0.00002123389,0.0003336872,0.9960325,0.0001415817],"study_design_scores_gemma":[0.0001571642,0.00002415685,0.00009285416,0.00008818902,0.0001828212,0.000007677087,0.003459492,0.00001086225,0.00002057405,0.00001389377,0.9956402,0.0003021455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002303564,0.0005900684,0.000004188585,0.000998428,0.0007249897,0.0002560162,0.9789508,0.00006070064,0.01818444],"genre_scores_gemma":[0.0003541621,0.002482632,0.00004285325,0.00002615809,0.001508183,6.455728e-7,0.9417886,0.00001200505,0.05378483],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06712164,"threshold_uncertainty_score":0.9999825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1861045416920744,"score_gpt":0.4232840275051712,"score_spread":0.2371794858130969,"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."}}