{"id":"W6906649858","doi":"10.18419/darus-2727/4","title":"Mass.zip","year":2023,"lang":"de","type":"dataset","venue":"Universitätsbibliothek Stuttgart","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"Process (computing); Identification (biology); Product (mathematics)","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":[0.0007604625,0.003565408,0.002364163,0.004115089,0.001203846,0.004096585,0.002963421,0.00272317,0.2716062],"category_scores_gemma":[0.00536365,0.0009892833,0.001070525,0.007727604,0.000523599,0.00287594,0.002824217,0.001641303,0.5559269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001484864,"about_ca_system_score_gemma":0.001156489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01340654,"about_ca_topic_score_gemma":0.02246468,"domain_scores_codex":[0.998976,0.0001766632,0.00008116505,0.0003962558,0.0001843882,0.0001855013],"domain_scores_gemma":[0.9982836,0.0003981399,0.000138838,0.0005580768,0.0003893196,0.0002320423],"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":[0.00005175809,0.00001204534,0.0001574701,0.0003086303,0.00000898644,0.00000805229,0.00001030593,0.00009441562,0.00006292592,0.0002821016,0.9968913,0.002111994],"study_design_scores_gemma":[0.0001447234,0.00002102207,0.001097065,0.0001768462,0.00001461304,0.00003465117,0.00005144201,0.0003921169,0.0002550615,0.001242204,0.9965488,0.0000214238],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009267186,0.0001342531,0.00007414675,0.0001135594,0.00003887222,0.00001232298,0.9957262,0.001244311,0.002563662],"genre_scores_gemma":[0.0003685881,0.0001111554,0.0001867827,0.0001029517,0.00001671507,0.00004390636,0.9971229,0.0001866477,0.001860343],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2716062,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02252097802433716,"score_gpt":0.2580409710261042,"score_spread":0.2355199930017671,"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."}}