{"id":"W7003609200","doi":"","title":"Footnotes","year":2002,"lang":"en","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Balkans: History, Politics, Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Croatian; Politics; Communism; State (computer science); Spanish Civil War; Mediterranean climate","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002735712,0.0001719684,0.000280582,0.0001601561,0.001482291,0.00002016471,0.0007903161,0.0002148682,0.001153481],"category_scores_gemma":[0.0000839774,0.0002625003,0.0002710647,0.0003530215,0.00118938,0.0002628772,0.0002517749,0.0002503536,0.0001827618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001061659,"about_ca_system_score_gemma":0.0001352723,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008951415,"about_ca_topic_score_gemma":0.002772983,"domain_scores_codex":[0.9981692,0.000315138,0.0001230067,0.0003742799,0.0004396171,0.0005787974],"domain_scores_gemma":[0.9986737,0.000262677,0.0002204041,0.0002911959,0.0002570601,0.000294985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001659927,0.0002141986,0.001647777,0.00003220299,0.00009804393,0.00009485563,0.9351323,0.0001637161,0.00005030509,0.02654511,0.03384123,0.002163637],"study_design_scores_gemma":[0.0009222853,0.0000338018,0.00225202,0.00006129946,0.0001059611,0.000001599616,0.8031243,0.002085481,0.00001927788,0.00006636822,0.1909515,0.0003761406],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8884754,0.000136052,0.001373897,0.001886363,0.0004974373,0.0002227048,0.00003182442,0.0003502647,0.107026],"genre_scores_gemma":[0.9765689,0.0001559177,0.001833835,0.00008880586,0.0001132812,9.506982e-13,0.000005121812,0.00001016995,0.02122396],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1571102,"threshold_uncertainty_score":0.9999827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01848664318253186,"score_gpt":0.1986761341568428,"score_spread":0.1801894909743109,"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."}}