{"id":"W6912809300","doi":"10.5281/zenodo.6447267","title":"Breakout Session zum FDM erfolgreich gestalten. Aufgabentitel: Bedeutung von Konsolidierung / Weiterentwicklungen der Beratungsangebote im FDM.","year":2022,"lang":"de","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Libraries and Information Services","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breakout; Session (web analytics); Deskilling; Quarter (Canadian coin)","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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008774853,0.0005068649,0.0004472486,0.0006221888,0.01758571,0.007275078,0.002011457,0.0001389618,0.1981676],"category_scores_gemma":[0.0001042749,0.0005331056,0.0002269952,0.000603672,0.0003686139,0.002434393,0.005478671,0.0010228,0.01366638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003680424,"about_ca_system_score_gemma":0.00002653028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002293057,"about_ca_topic_score_gemma":0.000006155312,"domain_scores_codex":[0.9951856,0.0008360725,0.0009613838,0.0007801239,0.001221011,0.001015839],"domain_scores_gemma":[0.9972115,0.0000586698,0.0005666238,0.0008990775,0.0008374144,0.0004267252],"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":[0.0004576947,0.0005374565,0.00004926663,0.0007064555,0.0007130354,0.00007293919,0.07796372,0.0001954153,0.0006153683,0.08520752,0.7812915,0.05218966],"study_design_scores_gemma":[0.0009792051,0.0004675126,0.0003072746,0.0001195748,0.000193977,0.00006787072,0.009809677,0.002444487,0.0001226707,0.0002154437,0.9846359,0.000636406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1270354,0.01670673,0.0007636614,0.01312008,0.008338286,0.004215945,0.01407953,0.004570317,0.81117],"genre_scores_gemma":[0.9093015,0.001774612,0.0002095405,0.003555472,0.003978677,0.000001535597,0.03130112,0.004762798,0.04511479],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.782266,"threshold_uncertainty_score":0.999712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508294046121339,"score_gpt":0.2283317583787723,"score_spread":0.193248817917559,"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."}}