{"id":"W6967694651","doi":"10.5281/zenodo.12148780","title":"Borbarads erben pdf","year":2024,"lang":"de","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Order (exchange)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["open_science","insufficient_payload"],"category_scores_codex":[0.001150109,0.000546043,0.0004810034,0.001233827,0.002091368,0.003577116,0.007757737,0.0004614858,0.1061984],"category_scores_gemma":[0.0008657471,0.000611266,0.0002009101,0.001599369,0.0006962594,0.0002694718,0.008810548,0.0013241,0.773474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005977539,"about_ca_system_score_gemma":0.00001996809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001542348,"about_ca_topic_score_gemma":3.462958e-7,"domain_scores_codex":[0.9954362,0.0005328037,0.0005484637,0.001615836,0.0009506624,0.0009160496],"domain_scores_gemma":[0.9966219,0.00003725215,0.0003067748,0.002250249,0.0004987805,0.0002850489],"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":[0.000008257024,0.00008577596,1.029659e-7,0.0002384664,0.0001266119,0.0001225935,0.0009572925,0.00001581216,0.0001658406,0.02436212,0.8554773,0.1184398],"study_design_scores_gemma":[0.0002481364,0.0003358722,0.00001157696,0.0004203617,0.00005053002,0.0001756412,0.00006767367,0.002225004,0.00006156888,0.002175882,0.9936142,0.0006135369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003955286,0.00341322,0.03982762,0.002955493,0.001922825,0.0006676834,0.0001251517,0.008444585,0.9426039],"genre_scores_gemma":[0.006815774,0.0006509027,0.009646085,0.000403345,0.001573388,9.092872e-8,0.0009263456,0.01578328,0.9642008],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6672756,"threshold_uncertainty_score":0.9996338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02985111760624825,"score_gpt":0.2397238906521425,"score_spread":0.2098727730458942,"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."}}