{"id":"W4412312862","doi":"","title":"Nordvestjysk:sprog fuldt af lune","year":2019,"lang":"da","type":"article","venue":"","topic":"Linguistics, Language Diversity, and Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"SKiN Health","funders":"","keywords":"Art","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":[0.0001984898,0.0003094029,0.0003868318,0.0001340136,0.0004327405,0.0007825355,0.00045358,0.00013426,0.07322801],"category_scores_gemma":[0.0009152169,0.0002858205,0.0002384131,0.00005409055,0.0002461867,0.0003170412,0.0003291364,0.0002764913,0.03203332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008492544,"about_ca_system_score_gemma":0.00008489096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007923614,"about_ca_topic_score_gemma":0.004055902,"domain_scores_codex":[0.998219,0.00004983397,0.0003364729,0.0004777141,0.0003896033,0.0005274323],"domain_scores_gemma":[0.9977108,0.00006804239,0.0001380297,0.0005756655,0.001335018,0.0001724971],"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":[0.00008328525,0.000693902,0.07583722,0.000774101,0.0004120712,0.00008372156,0.0773125,0.000003426245,0.00001713332,0.3631072,0.4807624,0.0009130936],"study_design_scores_gemma":[0.001315814,0.0002671039,0.004060834,0.000101993,0.0002878584,6.884907e-7,0.06251779,0.0001518217,0.0001336765,0.002388405,0.9278902,0.000883808],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4852747,0.001078718,0.00001197709,0.000116749,0.05449089,0.0004050588,0.0002175197,0.000152066,0.4582523],"genre_scores_gemma":[0.6354912,0.00009801114,0.00005207015,0.000711225,0.01855288,0.000001515409,0.0000565447,0.00002411705,0.3450125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4471278,"threshold_uncertainty_score":0.9999594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125233502573444,"score_gpt":0.201496681177062,"score_spread":0.1889733309197176,"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."}}