{"id":"W7065257212","doi":"","title":"“Don´t grow up, it´s a trap” : Den androgyne protagonisten Peter Pan","year":2022,"lang":"en","type":"other","venue":"DiVA (Linnaeus University)","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Character (mathematics); White (mutation); Semiotics; Key (lock); Theme (computing); Content (measure theory); Presentational and representational acting; Content analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000433157,0.0003183293,0.0001787157,0.0003274472,0.00553129,0.001910542,0.0003641264,0.0006890703,0.004979372],"category_scores_gemma":[0.001174164,0.0002318778,0.0001114212,0.0003109477,0.003099011,0.001744169,0.001487307,0.001985521,0.0005677885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001982602,"about_ca_system_score_gemma":0.000786729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256586,"about_ca_topic_score_gemma":0.08344673,"domain_scores_codex":[0.9994319,0.0002784251,0.000008567458,0.00009111496,0.00009495759,0.00009495895],"domain_scores_gemma":[0.9997023,0.0001234624,0.00005026472,0.00001110259,0.00003576691,0.00007710084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001401013,0.00004065412,0.009806243,0.0001559602,0.000008932509,0.005884142,0.9271302,0.00007310794,0.004119511,0.01246184,0.01711577,0.02306364],"study_design_scores_gemma":[0.000002692773,0.00007764741,0.01533778,0.0001202272,0.000008006093,0.003056725,0.7327349,0.00006307335,0.001177501,0.0003988617,0.2469991,0.00002350782],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8991632,0.001922489,0.001133534,0.007631214,0.0003315744,0.00004980799,0.0001503694,0.00003178325,0.08958613],"genre_scores_gemma":[0.969235,0.0009957355,0.0005380754,0.000745247,0.00002798526,0.00002733805,0.00005770601,0.00003909346,0.02833385],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02256586,"threshold_uncertainty_score":0.04486907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104148056784895,"score_gpt":0.2288122684486923,"score_spread":0.2177707878808433,"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."}}