{"id":"W4399266505","doi":"10.1007/978-3-031-60449-2_21","title":"A Proposal of AI-Powered HCI System to Enhance Spatial Design Creativity: InSpace","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; Human–computer interaction; Creativity; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003328086,0.0003067428,0.0003705696,0.0005010483,0.0000464973,0.0001114747,0.0003663441,0.0002048239,0.00002157721],"category_scores_gemma":[0.00004293743,0.0002915923,0.00006474236,0.0004036094,0.0001497496,0.000123289,0.0001304525,0.0004766653,0.00008051507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002849391,"about_ca_system_score_gemma":0.0002110016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004762608,"about_ca_topic_score_gemma":0.0001458491,"domain_scores_codex":[0.9983577,0.00001843631,0.0003331674,0.0005229909,0.0005101566,0.0002575574],"domain_scores_gemma":[0.9991916,0.0001514915,0.00006583145,0.0003243828,0.000168416,0.00009827109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000069221,0.00002617695,0.00001464786,0.001379353,0.00005407065,0.0001129618,0.002472206,0.4354472,0.01616127,0.007615489,0.00008848857,0.5365589],"study_design_scores_gemma":[0.000139676,0.0003260152,0.00002316213,0.003572162,0.00003029733,0.00002498192,6.803396e-7,0.7961167,0.1843527,0.01440936,0.0004002429,0.0006040945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003062951,0.0002045395,0.9933814,0.0001779954,0.001459541,0.0006185667,0.00001802551,0.0002794142,0.003554268],"genre_scores_gemma":[0.9481983,0.000007443529,0.05115961,0.0001088273,0.00031634,0.00001935161,0.000006984526,0.0000481859,0.0001349623],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.947892,"threshold_uncertainty_score":0.9999536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01199256008812733,"score_gpt":0.2530702651104312,"score_spread":0.2410777050223039,"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."}}