{"id":"W2599987389","doi":"","title":"Samtidslitteraturens udvidede felt","year":2013,"lang":"da","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Social and Educational Sciences","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Music Media and Technology","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":["insufficient_payload"],"category_scores_codex":[0.0005189354,0.0004470056,0.0004494516,0.0002893908,0.002330899,0.0006140036,0.001136846,0.0004406733,0.01699923],"category_scores_gemma":[0.0002176993,0.0004455735,0.0003709713,0.002158433,0.001276389,0.00213426,0.0001964652,0.0004904962,0.00449804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005009521,"about_ca_system_score_gemma":0.001008433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04278419,"about_ca_topic_score_gemma":0.002202074,"domain_scores_codex":[0.9960699,0.0001548917,0.0004610589,0.0008230928,0.001214215,0.001276831],"domain_scores_gemma":[0.997606,0.0002746792,0.0004236626,0.0003387623,0.00050467,0.0008522433],"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":[0.00004179056,0.0004976669,0.1138053,0.00005909395,0.0002806442,0.00008716129,0.1482111,0.00002508074,0.0006584245,0.1489462,0.5782173,0.009170278],"study_design_scores_gemma":[0.0004821065,0.0001517493,0.0806844,0.0001341914,0.000146485,0.000006460714,0.18959,0.00004496994,0.0001022495,0.01125326,0.716362,0.001042154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.791293,0.0004572729,0.00001302205,0.01179085,0.003293861,0.0006066889,0.00004535113,0.0001766046,0.1923233],"genre_scores_gemma":[0.9014502,0.0002345796,0.0003618665,0.00125689,0.001857853,0.00001047113,0.00009317166,0.00002860374,0.09470636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1381447,"threshold_uncertainty_score":0.9997996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008895242049901827,"score_gpt":0.2370412517589778,"score_spread":0.228146009709076,"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."}}