{"id":"W7052722465","doi":"","title":"Search interaction optimization a human-centered design approach","year":2016,"lang":"en","type":"article","venue":"Qucosa - Monarch (Chemnitz University of Technology)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Social Fund; Freistaat Sachsen","keywords":"USable; Point (geometry); Usability; Semantic search; Search engine; Search analytics; Interface (matter)","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":[0.005552763,0.00184177,0.0008511239,0.001568328,0.000818903,0.003965843,0.002766527,0.001642218,0.008457039],"category_scores_gemma":[0.007345097,0.001009589,0.001423847,0.0006112625,0.001964214,0.002236391,0.002788912,0.00157573,0.001874365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001428278,"about_ca_system_score_gemma":0.002507848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001530022,"about_ca_topic_score_gemma":0.001934234,"domain_scores_codex":[0.9936793,0.003336046,0.0003084427,0.0007547356,0.001658694,0.0002626656],"domain_scores_gemma":[0.9957026,0.002089426,0.000273363,0.0004909725,0.001237599,0.0002060493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007942711,0.001281287,0.005544808,0.00377269,0.0005444868,0.0007771381,0.00967247,0.2148997,0.08068577,0.1701474,0.01275734,0.4991227],"study_design_scores_gemma":[0.0004034499,0.002060557,0.003405106,0.0006619397,0.0006123655,0.001099486,0.002368908,0.6983365,0.03421583,0.1206327,0.1359488,0.000254368],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01053392,0.0005605762,0.9738429,0.000508925,0.00005139294,0.000572295,0.00007205168,0.001016578,0.01284133],"genre_scores_gemma":[0.2093157,0.0006739659,0.772683,0.0004562948,0.00005087226,0.0017036,0.0002634968,0.0004823998,0.01437049],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008457039,"threshold_uncertainty_score":0.0293662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351952516166174,"score_gpt":0.2560540420544544,"score_spread":0.2225345168927927,"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."}}