{"id":"W4310102512","doi":"10.29173/iasl8527","title":"KBANZSL","year":2022,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parliament; Library science; Political science; Resource (disambiguation); Key (lock); Public relations; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01102473,0.0008610205,0.001242377,0.006377404,0.00418373,0.01383144,0.002703947,0.002609024,0.4550933],"category_scores_gemma":[0.04489167,0.001524891,0.000697442,0.00820847,0.00156917,0.01133057,0.007241976,0.002918002,0.4384002],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004964937,"about_ca_system_score_gemma":0.01775656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04159613,"about_ca_topic_score_gemma":0.03538845,"domain_scores_codex":[0.9920901,0.001675029,0.001063663,0.001090746,0.003184244,0.0008961811],"domain_scores_gemma":[0.9692717,0.004964083,0.001515158,0.005370338,0.0162875,0.002591246],"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":[0.0001658748,0.0000314758,0.0006527171,0.0007480709,0.00001089508,0.000119488,0.001037862,0.00009997172,0.000369451,0.01629128,0.8972423,0.08323065],"study_design_scores_gemma":[0.000009443221,0.000004911489,0.0003793825,0.0001535079,0.000003047979,0.00003508465,0.0001997757,0.00007519346,0.000134241,0.001347422,0.9976462,0.00001177594],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002519069,0.002684228,0.008924839,0.00905582,0.001554693,0.0006710558,0.09314833,0.02314012,0.8583018],"genre_scores_gemma":[0.02125509,0.00367613,0.02112198,0.004377161,0.0003318399,0.001271214,0.1373998,0.01715172,0.7934152],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5449067,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03890141671776125,"score_gpt":0.2983581139903969,"score_spread":0.2594566972726356,"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."}}