{"id":"W6906704943","doi":"10.17616/r32326","title":"Scholars Portal Dataverse","year":2012,"lang":"en","type":"other","venue":"Registry of Research Repositories","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Documentation; Government (linguistics); Key (lock); Data access; Process (computing)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002431554,0.000460366,0.0007360306,0.001018878,0.0002319422,0.0002226292,0.001633873,0.000883399,0.003860418],"category_scores_gemma":[0.001870087,0.00044745,0.0002091515,0.001045566,0.002555024,0.0003740744,0.0007392074,0.001888035,0.005156974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002110476,"about_ca_system_score_gemma":0.0008145923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002753032,"about_ca_topic_score_gemma":0.0001386451,"domain_scores_codex":[0.9931761,0.0005902379,0.0005410298,0.0007878747,0.00367282,0.001231952],"domain_scores_gemma":[0.9942896,0.0002080559,0.0007409894,0.003605118,0.0006479004,0.0005083138],"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":[0.00008628981,0.0001602721,0.006002834,0.0009015512,0.0003482212,0.0004222578,0.00007857646,9.71361e-8,0.004397918,0.002858223,0.9845741,0.0001696951],"study_design_scores_gemma":[0.0002606088,0.00007441887,0.0003822089,0.001065402,0.00005904002,0.0001985418,0.0003700996,3.854082e-7,0.006435615,0.00003980406,0.9907427,0.0003711949],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004507455,0.005018203,0.000003876224,0.00002769619,0.001697135,0.0006142963,0.001282349,0.0004918512,0.9904138],"genre_scores_gemma":[0.007199513,0.0003074087,0.001358441,0.000001371036,0.004649671,0.00004879655,0.0005326777,0.001555404,0.9843467],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.006748767,"threshold_uncertainty_score":0.9997977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06773039194395768,"score_gpt":0.39557006206247,"score_spread":0.3278396701185123,"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."}}