{"id":"W4382563255","doi":"10.54941/ahfe1003940","title":"Emotional space design research based on bibliometric tools","year":2023,"lang":"en","type":"article","venue":"AHFE international","topic":"Urban Design and Spatial Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Space (punctuation); Citation; Citation index; Data science; Information retrieval; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":["bibliometrics","insufficient_payload"],"consensus_categories":["bibliometrics","insufficient_payload"],"category_scores_codex":[0.0007338615,0.00009477762,0.00009150409,0.0206241,0.00006858267,0.0001427346,0.0003046256,0.00005864306,0.001576905],"category_scores_gemma":[0.0004089031,0.00009298348,0.00007710553,0.02315757,0.00003680081,0.0001333102,0.000029633,0.000204164,0.002759723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001351525,"about_ca_system_score_gemma":0.00003250071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000227203,"about_ca_topic_score_gemma":0.000003848629,"domain_scores_codex":[0.9983774,0.000068792,0.0001556715,0.0001764478,0.0009775106,0.0002441215],"domain_scores_gemma":[0.9988133,0.0007510079,0.00001390808,0.0001540731,0.0001947002,0.00007305547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003226748,0.00006389875,0.002443299,0.0000109344,0.0001384558,0.00005333537,0.00004247338,0.6285936,0.002761348,0.003677039,0.34457,0.01761331],"study_design_scores_gemma":[0.0002270544,0.00004700326,0.02905991,0.00002117851,0.000004267428,0.000001060328,0.000009110332,0.9520828,0.00162961,0.000956559,0.01584681,0.0001146981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1082264,0.000150772,0.7378728,0.01159692,0.003403096,0.000650046,0.0001951789,0.002328065,0.1355766],"genre_scores_gemma":[0.9939278,0.00004207419,0.001404118,0.00008233153,0.0002962449,0.00003473634,0.00009595586,0.00002461012,0.004092159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8857014,"threshold_uncertainty_score":0.9993358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1798607627079263,"score_gpt":0.3429570417058,"score_spread":0.1630962789978737,"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."}}