{"id":"W6931336405","doi":"10.5281/zenodo.5085845","title":"ICPSR's Metadata Curation Process","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Public Safety Research and Treatment","funders":"","keywords":"Metadata; Process (computing); Data curation; Presentation (obstetrics); Digital curation; Geospatial metadata","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03417161,0.001564275,0.001996964,0.01658476,0.00536497,0.01328474,0.003405354,0.002675716,0.1676475],"category_scores_gemma":[0.07680406,0.001658403,0.002462148,0.0190677,0.002289293,0.01026158,0.01501273,0.004409756,0.2305126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003514441,"about_ca_system_score_gemma":0.02768425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03145888,"about_ca_topic_score_gemma":0.01660031,"domain_scores_codex":[0.9715863,0.006209697,0.00283348,0.003782769,0.01447794,0.001109797],"domain_scores_gemma":[0.93243,0.009173875,0.001204841,0.02513419,0.0299472,0.002110016],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007715985,0.00003405772,0.0004569972,0.0003732372,0.00002384547,0.00005996271,0.0007997476,0.0001948234,0.001090993,0.009870707,0.8961437,0.0908749],"study_design_scores_gemma":[0.00001942289,0.00001063928,0.0004479581,0.00009511418,0.000009103628,0.00004131026,0.000253914,0.0003591508,0.001101699,0.00435077,0.9932829,0.00002808255],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002959134,0.001118566,0.2554426,0.01668721,0.006551755,0.006058268,0.3380882,0.1514286,0.2216657],"genre_scores_gemma":[0.01589025,0.001455685,0.2832738,0.003343013,0.001527047,0.005508562,0.4341479,0.05287791,0.2019759],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9658284,"threshold_uncertainty_score":0.5608367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05533204062796911,"score_gpt":0.3167230387491485,"score_spread":0.2613909981211794,"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."}}