{"id":"W4398369327","doi":"10.7910/dvn/pl2xfd/0odbml","title":"gallagher_data_for_ees_limited.tab","year":2017,"lang":"ceb","type":"dataset","venue":"Harvard Dataverse","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002405815,0.001772542,0.001509761,0.00432676,0.001068069,0.00326427,0.003446736,0.001787832,0.4883846],"category_scores_gemma":[0.0161132,0.001012068,0.001290766,0.006370222,0.0006358533,0.002309505,0.003025727,0.001927155,0.3440102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693747,"about_ca_system_score_gemma":0.003003685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01407376,"about_ca_topic_score_gemma":0.02464875,"domain_scores_codex":[0.9986578,0.0002484186,0.0001518144,0.0004196722,0.0002630084,0.0002593564],"domain_scores_gemma":[0.9924898,0.003169913,0.0005268609,0.001730267,0.00142504,0.0006581029],"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":[0.00003648085,0.00001273403,0.0003646619,0.0003175394,0.00001697197,0.000006789061,0.00001606691,0.00007050892,0.00005357257,0.0003498128,0.9972289,0.001525911],"study_design_scores_gemma":[0.0003601003,0.00001665589,0.002402385,0.0002647805,0.00003220637,0.00004084384,0.00006538015,0.0002441817,0.000561715,0.001926398,0.9940481,0.00003719945],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005534404,0.00002065728,0.0001033133,0.0000553641,0.0000179422,0.00001793203,0.9980091,0.0008299041,0.0008905181],"genre_scores_gemma":[0.000635075,0.00004631061,0.0006145923,0.000143389,0.00001772223,0.0002535738,0.9952662,0.0009865903,0.002036513],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5116154,"threshold_uncertainty_score":0.7297572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02398682226637489,"score_gpt":0.2780851689363285,"score_spread":0.2540983466699536,"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."}}