{"id":"W6931678311","doi":"10.5683/sp3/vhewlm","title":"A Hands-on Case for Dataverse","year":2014,"lang":"en","type":"dataset","venue":"Borealis","topic":"Resilience and Mental Health","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geospatial analysis; Data management; Data collection; Identification (biology); Process (computing)","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":[],"consensus_categories":[],"category_scores_codex":[0.1596477,0.001396539,0.001638287,0.006826066,0.007240616,0.02772758,0.007275771,0.008300335,0.03429067],"category_scores_gemma":[0.3705451,0.001804576,0.002748133,0.01317759,0.0122677,0.07388181,0.03322975,0.01873167,0.01559962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00480464,"about_ca_system_score_gemma":0.01282659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009783247,"about_ca_topic_score_gemma":0.01513516,"domain_scores_codex":[0.9033253,0.06233899,0.009153654,0.007153799,0.01515136,0.002876972],"domain_scores_gemma":[0.5421457,0.2329181,0.00611426,0.1754877,0.02885147,0.01448268],"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":[0.0006114392,0.0001876325,0.00838051,0.0006347405,0.0001285367,0.0007680061,0.004406261,0.001172537,0.0009185305,0.3984557,0.5074684,0.07686769],"study_design_scores_gemma":[0.00009576848,0.0000480058,0.001141303,0.001330771,0.0000299705,0.0006651728,0.004010251,0.003214894,0.001289427,0.2093791,0.7786786,0.0001168428],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"dataset","genre_scores_codex":[0.01449421,0.003403852,0.3157543,0.5239984,0.01005716,0.001338769,0.03669376,0.01270379,0.08155575],"genre_scores_gemma":[0.1164686,0.00310362,0.7034486,0.08267538,0.004154148,0.00377581,0.04448558,0.01435949,0.0275289],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.1596477,"threshold_uncertainty_score":0.8443076,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04894018139419738,"score_gpt":0.4163640807604025,"score_spread":0.3674238993662052,"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."}}