{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003211348,0.0007363243,0.0007599236,0.001584204,0.004373784,0.006954042,0.000993965,0.002186278,0.2144061],"category_scores_gemma":[0.01053901,0.0005205257,0.0006712999,0.001196048,0.001467923,0.004093822,0.00509806,0.004118633,0.09989733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002855774,"about_ca_system_score_gemma":0.003338838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009275494,"about_ca_topic_score_gemma":0.0226546,"domain_scores_codex":[0.995567,0.0008457497,0.0002230484,0.0005900192,0.002266217,0.0005079635],"domain_scores_gemma":[0.9956167,0.0007361698,0.0003089518,0.0004732941,0.001646616,0.001218323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000225915,0.0001140594,0.002368458,0.000338753,0.00002117408,0.0004476654,0.01548797,0.0001001165,0.002534698,0.01725685,0.7989691,0.1621352],"study_design_scores_gemma":[0.000002785172,0.00001817538,0.001498397,0.0001132305,0.000003229146,0.00009238725,0.002093664,0.00001391992,0.0003044475,0.0004962985,0.99535,0.00001341851],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03458546,0.01253791,0.005237021,0.05640984,0.03662198,0.0002456745,0.007878783,0.001607984,0.8448753],"genre_scores_gemma":[0.04650346,0.003803842,0.002169096,0.003554462,0.001955728,0.0001355531,0.002282354,0.001174433,0.9384212],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2144061,"threshold_uncertainty_score":0.71726,"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."}}