{"id":"W6948845664","doi":"10.5281/zenodo.11588619","title":"Camille Couture (c1188)","year":2024,"lang":"de","type":"dataset","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":"Documentation; Object (grammar); Photography; Period (music)","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":[0.0005922292,0.0005034924,0.0004373006,0.0005378129,0.006854975,0.0138882,0.002389422,0.0002948024,0.4119231],"category_scores_gemma":[0.0001594863,0.0004670613,0.0002030043,0.0003854426,0.0004972981,0.00114531,0.003244686,0.001110412,0.6817563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001734606,"about_ca_system_score_gemma":0.00001521377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008779742,"about_ca_topic_score_gemma":0.0000051871,"domain_scores_codex":[0.9967826,0.000279647,0.0007672812,0.0006833404,0.0008022638,0.0006848389],"domain_scores_gemma":[0.9973974,0.00003851917,0.0003405322,0.001006953,0.0009017151,0.0003148686],"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":[0.00005441377,0.0001000049,3.19511e-8,0.001160012,0.0002489206,0.00002882001,0.009228828,0.000008524985,0.000004283681,0.03918125,0.9448104,0.005174551],"study_design_scores_gemma":[0.0003621605,0.0003153377,0.000002076985,0.0002658385,0.000151958,0.0000513307,0.00636274,0.0002203885,0.000005830984,0.0003193223,0.9913899,0.0005531349],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006282041,0.001689209,0.00001603001,0.001629679,0.001629551,0.0005753774,0.7753488,0.0009418738,0.2181066],"genre_scores_gemma":[0.0006265332,0.002220748,0.00001623937,0.001539606,0.003161268,7.985643e-8,0.9792358,0.002256813,0.01094286],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2698331,"threshold_uncertainty_score":0.9997781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03370562940890456,"score_gpt":0.2236177268887007,"score_spread":0.1899120974797961,"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."}}