{"id":"W2580723502","doi":"","title":"ANALISIS STRUKTURAL-GENETIK ROMAN LIGNES DE FAILLE KARYA NANCY HUSTON","year":2015,"lang":"de","type":"dissertation","venue":"ePrints - UNY (Yogyakarta State University)","topic":"Educational Research and Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.0008523242,0.0002285675,0.0002705129,0.002035891,0.001634061,0.002080632,0.0003533138,0.0002722338,0.015628],"category_scores_gemma":[0.002104336,0.0001427417,0.000222261,0.003133131,0.001136673,0.00100354,0.001244798,0.0005386934,0.001118345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003089507,"about_ca_system_score_gemma":0.001973609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03241093,"about_ca_topic_score_gemma":0.1177453,"domain_scores_codex":[0.9994511,0.0001328161,0.00002608402,0.0001233385,0.0001853467,0.00008122441],"domain_scores_gemma":[0.9985135,0.000584134,0.0002298804,0.0001110824,0.0004357203,0.000125599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002281693,0.00009606602,0.4589761,0.0005784137,0.0001012848,0.003201057,0.243533,0.001354001,0.0131227,0.05943276,0.007224149,0.2121522],"study_design_scores_gemma":[0.000004039687,0.00004945341,0.7654297,0.0002187033,0.00003445826,0.0006052827,0.1555357,0.0009782605,0.001818898,0.003994401,0.07129324,0.00003786904],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699884,0.0003154521,0.002542039,0.0002754943,0.00001448244,0.00005934951,0.0007050189,0.00002612618,0.02607361],"genre_scores_gemma":[0.9646876,0.0002804314,0.003519595,0.00006873957,0.000004827408,0.00009970313,0.001094735,0.00005263585,0.03019166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03241093,"threshold_uncertainty_score":0.06444454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04064792695979597,"score_gpt":0.3646512077407653,"score_spread":0.3240032807809693,"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."}}