{"id":"W7005141974","doi":"","title":"Personalisering in het Nederlandse televisiedebat: Is er sprake van personalisering in het Nederlandse televisiedebat in een periode van 1967 tot 2012? Een inhoudsanalyse van zeven Nederlandse televisiedebatten","year":2016,"lang":"nl","type":"other","venue":"Leiden Repository (Leiden University)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Paraphernalia; Context (archaeology); Quarter (Canadian coin); Period (music)","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":[0.002111035,0.00018198,0.0002891319,0.001032313,0.002142864,0.006764677,0.0006330829,0.001284787,0.03433816],"category_scores_gemma":[0.007400106,0.0002026681,0.0002113589,0.002650405,0.002331536,0.005503707,0.002833294,0.002309219,0.002373717],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007314703,"about_ca_system_score_gemma":0.007818315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1459731,"about_ca_topic_score_gemma":0.128487,"domain_scores_codex":[0.9976902,0.000698805,0.0001090535,0.0003010758,0.0005877931,0.0006130465],"domain_scores_gemma":[0.9976003,0.0009453405,0.000271945,0.0001536741,0.000310098,0.0007186218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003001264,0.0001658567,0.0195844,0.0006688479,0.00004329185,0.000559243,0.1546491,0.0006658201,0.0006143605,0.1878678,0.1888567,0.4460246],"study_design_scores_gemma":[0.000017668,0.0000179926,0.02409829,0.0007609783,0.00001371089,0.0001297283,0.05097938,0.0001139799,0.0002998006,0.007584793,0.9159647,0.00001895611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3666196,0.06115494,0.00270086,0.08527803,0.002224387,0.00006242411,0.004615574,0.000154658,0.4771895],"genre_scores_gemma":[0.7898644,0.02083566,0.001762262,0.002128218,0.0003983543,0.00005920082,0.001497801,0.0002093272,0.1832447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1459731,"threshold_uncertainty_score":0.290247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889579777887927,"score_gpt":0.2066000813510386,"score_spread":0.1877042835721593,"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."}}