{"id":"W2137417368","doi":"","title":"DISKRIMINACIJA ŽENA NA TRŽIŠTU RADA S OSVRTOM NA HRVATSKU","year":2011,"lang":"sl","type":"article","venue":"University of Zagreb University Computing Centre (SRCE)","topic":"Environmental Science and Water Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Humanities; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004318206,0.0005671597,0.0005798584,0.0002514615,0.001184221,0.00004225544,0.002125228,0.0002582578,0.006238977],"category_scores_gemma":[0.00001073141,0.0007120898,0.0004194842,0.0007927515,0.001793004,0.0009094792,0.002995592,0.0004146141,0.001163682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122564,"about_ca_system_score_gemma":0.00005013915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01146443,"about_ca_topic_score_gemma":0.0006324149,"domain_scores_codex":[0.9960567,0.0003252224,0.0003335458,0.001249386,0.0009115798,0.001123539],"domain_scores_gemma":[0.9979678,0.00008169082,0.0005462446,0.0008099963,0.00003270984,0.0005615539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0008934034,0.00312693,0.1133094,0.0003102554,0.0006542333,0.002809685,0.7321305,0.002935625,0.002920303,0.001985938,0.007920359,0.1310034],"study_design_scores_gemma":[0.002598117,0.0003852475,0.2698879,0.0002660007,0.0005604218,0.00001614487,0.7101955,0.007643351,0.001393362,0.00006385046,0.005706601,0.001283474],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720391,0.00004662772,0.00374904,0.0003304966,0.0004293139,0.0005035126,0.00007444229,0.0001191803,0.02270831],"genre_scores_gemma":[0.9817665,0.0002408734,0.003839413,0.0001105547,0.00003622937,1.477594e-11,0.00002788964,0.0000239303,0.01395462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1565785,"threshold_uncertainty_score":0.999614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150629888360358,"score_gpt":0.1470072498592049,"score_spread":0.1355009509756013,"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."}}