{"id":"W4398648985","doi":"10.7910/dvn/dynawt/xwdx0q","title":"L4.txt","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007529424,0.0002583101,0.0004137549,0.0002586169,0.0001728526,0.000434997,0.0024328,0.0002610936,0.137514],"category_scores_gemma":[0.002138473,0.0002126339,0.0001912886,0.000777435,0.00009937153,0.0002834962,0.0008282127,0.0003831406,0.8155219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000402454,"about_ca_system_score_gemma":0.0001322012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000977347,"about_ca_topic_score_gemma":0.00002826509,"domain_scores_codex":[0.9967078,0.000112591,0.0007467917,0.0008518165,0.001352388,0.0002286056],"domain_scores_gemma":[0.9958341,0.0005968421,0.0004153731,0.002702303,0.0002161282,0.0002353275],"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":[0.000009324474,0.00002849474,0.00000276791,0.000005076865,0.00001044226,0.00001408044,0.000007019456,0.000007254128,0.000004670379,0.0002822682,0.9977558,0.001872771],"study_design_scores_gemma":[0.0001256923,0.00002200296,0.000029662,0.00001068252,0.00003420761,0.000004159584,0.00003732369,0.0001536131,0.00002253929,0.002203315,0.9971172,0.0002396223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001322834,2.722936e-7,0.001915508,0.00006781493,0.0002779329,0.0003303751,0.9962547,0.0001249143,0.001027186],"genre_scores_gemma":[0.0000217639,0.00007560506,0.001196096,0.001846837,0.0003389636,0.00005040799,0.9952999,0.00001509183,0.001155285],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.678008,"threshold_uncertainty_score":0.8670956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185755747815455,"score_gpt":0.3901541759722164,"score_spread":0.2715786011906709,"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."}}