{"id":"W7071166116","doi":"","title":"Så den fremmede ikke blir mer fremmed","year":2015,"lang":"no","type":"article","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feminism; Quarter (Canadian coin); Sine","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008056802,0.0004762455,0.000380834,0.00009889605,0.0001330751,0.0001638087,0.0007747509,0.0006375042,0.0006507873],"category_scores_gemma":[0.0009140822,0.0004247647,0.0002085559,0.0002006832,0.0002137131,0.00001300352,0.0006317812,0.0004321027,0.00133714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005526537,"about_ca_system_score_gemma":0.000423214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002242623,"about_ca_topic_score_gemma":0.0001666888,"domain_scores_codex":[0.9973828,0.000179442,0.0006568701,0.0004989241,0.0005456449,0.000736373],"domain_scores_gemma":[0.9976928,0.00003544502,0.0002719221,0.001064037,0.000325454,0.0006103517],"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":[0.0003297006,0.0004271327,0.01926463,0.0002717056,0.001075816,0.00003527795,0.002095288,0.0009442644,0.02801932,0.00169629,0.9313923,0.01444824],"study_design_scores_gemma":[0.002642279,0.0009054596,0.001509704,0.00004968158,0.000232767,0.0001198453,0.001130034,0.009715173,0.04121765,0.0002033645,0.9411608,0.001113215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2403086,0.00669924,0.01802654,0.006998303,0.003345044,0.001097914,0.0001485566,0.0002148092,0.723161],"genre_scores_gemma":[0.9160156,0.0002544021,0.01981678,0.004287084,0.001328203,0.00002135773,0.0007281388,0.0001050912,0.0574434],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6757069,"threshold_uncertainty_score":0.9998204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02400686652566375,"score_gpt":0.2810396457615874,"score_spread":0.2570327792359237,"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."}}