{"id":"W6969362559","doi":"10.5281/zenodo.5534094","title":"DataCite Metadata: Getting Connected!","year":2021,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Metadata; Presentation (obstetrics); Key (lock); Identification (biology); Internet of Things","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008947738,0.001425859,0.001075688,0.008554588,0.00419049,0.01548126,0.003178464,0.005216561,0.1515353],"category_scores_gemma":[0.06829461,0.001681295,0.001422256,0.01416088,0.00209774,0.04883146,0.02537052,0.006445854,0.1525313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001943993,"about_ca_system_score_gemma":0.004246431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007832658,"about_ca_topic_score_gemma":0.01262291,"domain_scores_codex":[0.9949712,0.001255348,0.0005789979,0.0006539198,0.002018765,0.0005217841],"domain_scores_gemma":[0.9688084,0.006207241,0.0009738823,0.01259826,0.007817861,0.003594316],"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":[0.00005832029,0.000019754,0.0006058221,0.0004080549,0.00001751788,0.0001710769,0.0009905335,0.00008426812,0.0007800695,0.02785559,0.902117,0.06689206],"study_design_scores_gemma":[0.000007343786,0.000005023214,0.0001919393,0.0001709498,0.000005876312,0.0000764674,0.0003469115,0.0001006609,0.0004017954,0.008697043,0.9899734,0.00002252711],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004824642,0.007444023,0.2279906,0.1028666,0.02035609,0.001340328,0.1925385,0.1560514,0.2865878],"genre_scores_gemma":[0.0319537,0.01319457,0.2622777,0.02178443,0.007146678,0.002011513,0.3506276,0.109206,0.2017978],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9845188,"threshold_uncertainty_score":0.506936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05163168048023591,"score_gpt":0.274736138539674,"score_spread":0.2231044580594381,"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."}}