{"id":"W4412281150","doi":"","title":"Maskulinisering hos en mops/Lhasa Apso blandingstæve","year":2015,"lang":"da","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Gender Studies in Language","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Privy Council Office","funders":"","keywords":"Computer science","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","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.00788413,0.0004592157,0.001027948,0.0003917573,0.004068769,0.00009594657,0.004816985,0.0004891053,0.2715423],"category_scores_gemma":[0.0008486145,0.0005312735,0.0005162553,0.002310727,0.005014177,0.0009341771,0.005290756,0.001054193,0.09933253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0018793,"about_ca_system_score_gemma":0.001760502,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01834443,"about_ca_topic_score_gemma":0.009387545,"domain_scores_codex":[0.9904866,0.003562219,0.0003913296,0.0009906695,0.003022503,0.001546642],"domain_scores_gemma":[0.9940336,0.0015702,0.0005809736,0.001354028,0.001522639,0.0009385226],"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":[0.000988536,0.0002060781,0.00005714569,0.0001748409,0.0005989051,0.0004964228,0.1862278,0.0001316,0.0007717017,0.0005158141,0.8078511,0.001980041],"study_design_scores_gemma":[0.001828762,0.0004062529,0.002791492,0.0001435785,0.0002115682,0.000006092559,0.3738445,0.0001542258,0.0004723139,0.0000285221,0.6197366,0.0003760829],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3599183,0.01067306,0.0007026258,0.003518156,0.0004839017,0.001701024,0.0002508132,0.00007783801,0.6226743],"genre_scores_gemma":[0.5855984,0.001212618,0.0005620492,0.00002127465,0.0001007168,1.53806e-7,0.00002221328,0.00002685203,0.4124557],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2256801,"threshold_uncertainty_score":0.9997139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1333505201301011,"score_gpt":0.3477194268010672,"score_spread":0.2143689066709661,"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."}}