{"id":"W2606230913","doi":"","title":"Kan brugerne finde hvad de leder efter - på både PC og mobil?: eyetracking 3F","year":2016,"lang":"da","type":"report","venue":"","topic":"Persona Design and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Federation of Science Journalists","funders":"","keywords":"Humanities; Philosophy; Psychology","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":[0.004598722,0.0007362748,0.0004988836,0.002087698,0.001966549,0.004986886,0.0008801704,0.00278506,0.05544096],"category_scores_gemma":[0.01678178,0.0004239656,0.0006895994,0.00135851,0.001056527,0.005064717,0.003548658,0.002397023,0.02040563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002651173,"about_ca_system_score_gemma":0.003108199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03110608,"about_ca_topic_score_gemma":0.06684892,"domain_scores_codex":[0.9963941,0.001581278,0.0001735398,0.0006093169,0.0007873241,0.0004545293],"domain_scores_gemma":[0.9904373,0.004515414,0.0006166969,0.0006301461,0.002628214,0.001172257],"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":[0.001048333,0.0005411993,0.0290008,0.001611236,0.0001007333,0.001117763,0.01727011,0.0002805139,0.003572696,0.002285627,0.4698755,0.4732955],"study_design_scores_gemma":[0.0002326612,0.0005908221,0.09176883,0.003179984,0.0001968627,0.001915027,0.03541654,0.001077591,0.004757965,0.004383711,0.8560117,0.0004682192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3628703,0.02729284,0.03370238,0.1084222,0.008920082,0.001816833,0.02625259,0.009911508,0.4208112],"genre_scores_gemma":[0.6232703,0.01761226,0.04397712,0.03305534,0.002200826,0.002380564,0.0147014,0.002507128,0.2602949],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05544096,"threshold_uncertainty_score":0.1854685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05684042370653835,"score_gpt":0.3187051414651323,"score_spread":0.261864717758594,"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."}}