{"id":"W6984972410","doi":"","title":"Soap","year":2015,"lang":"en","type":"dataset","venue":"Figshare","topic":"Central European national history","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Ideology; Action (physics); Relation (database); Space (punctuation); Comedy; Subject matter; Set (abstract data type)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008629338,0.000879323,0.0005067948,0.0007694443,0.00299676,0.003377933,0.001102612,0.001401261,0.5831934],"category_scores_gemma":[0.00274702,0.0005108066,0.0005512263,0.0006785768,0.0007824018,0.002442281,0.003779532,0.002186173,0.3193887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009150016,"about_ca_system_score_gemma":0.001541375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005091367,"about_ca_topic_score_gemma":0.01460119,"domain_scores_codex":[0.9992777,0.0001029823,0.00002456488,0.0001716958,0.0002984441,0.0001247118],"domain_scores_gemma":[0.9990239,0.0001363115,0.00002867499,0.0001613154,0.0003253534,0.0003243734],"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":[0.000170005,0.00006561331,0.0002660999,0.0001968898,0.000006342553,0.0001732986,0.00100572,0.00006040859,0.001810057,0.007349416,0.893686,0.09521017],"study_design_scores_gemma":[0.000007645679,0.00002442987,0.0002716782,0.0000255079,0.000001569274,0.00004887272,0.0002461142,0.00004503551,0.0002979538,0.0006402088,0.9983852,0.000005784348],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"dataset","genre_scores_codex":[0.004175498,0.0007015252,0.007015159,0.003596723,0.004527857,0.0005089306,0.00433752,0.0056417,0.969495],"genre_scores_gemma":[0.01650794,0.0005705343,0.004435233,0.002209092,0.0003865556,0.0002125806,0.003025659,0.002442045,0.9702104],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.4168066,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113478597301765,"score_gpt":0.346645434197464,"score_spread":0.233166836895699,"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."}}