{"id":"W6893375105","doi":"10.5281/zenodo.2556764","title":"Welcome and Goals","year":2019,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Research Data Management Practices","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canarie","funders":"","keywords":"Work (physics); Government (linguistics); Data collection","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":[0.01859224,0.002107042,0.001382522,0.001538576,0.006343633,0.01859908,0.003211292,0.02150537,0.1868635],"category_scores_gemma":[0.04640179,0.0008797721,0.002427688,0.0008692892,0.001789884,0.009758943,0.01449435,0.02192225,0.1545723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004441037,"about_ca_system_score_gemma":0.01356102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003387651,"about_ca_topic_score_gemma":0.005790389,"domain_scores_codex":[0.9873862,0.002447345,0.0004986828,0.001409288,0.005121582,0.003136805],"domain_scores_gemma":[0.9290313,0.004597566,0.001563947,0.002247369,0.02214403,0.04041574],"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":[0.0001197319,0.00003495099,0.0000802783,0.0000767378,0.000004089403,0.00009972083,0.0001103637,0.00002552723,0.0002968733,0.001981449,0.9903091,0.006861122],"study_design_scores_gemma":[0.00003624863,0.00004673752,0.0003058296,0.00009638519,0.000005589474,0.0000512187,0.0004305356,0.00004430534,0.0001662413,0.002002044,0.9967877,0.00002719294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0009238712,0.003582873,0.002942448,0.4635139,0.482657,0.000495815,0.003189811,0.001089781,0.04160457],"genre_scores_gemma":[0.009496201,0.002682909,0.005091285,0.2068194,0.1019369,0.001330031,0.005370268,0.001939109,0.665334],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1868635,"threshold_uncertainty_score":0.6251208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05870344144388153,"score_gpt":0.2839459763222926,"score_spread":0.225242534878411,"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."}}