{"id":"W4408863074","doi":"10.1016/j.ohx.2025.e00643","title":"A 360-degree imagery-multisensor system for visualizing environmental parameters in architecture and urban spaces","year":2025,"lang":"en","type":"article","venue":"HardwareX","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Sentinelle Nord, Université Laval; Canada First Research Excellence Fund; Université Laval","keywords":"Architecture; Degree (music); Computer science; Computer graphics (images); Human–computer interaction; Geography; Archaeology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0001549026,0.000155385,0.0001782566,0.00007979909,0.00009617852,0.00005095086,0.000102468,0.00007122217,0.00004116218],"category_scores_gemma":[0.00003534999,0.0001449485,0.00004992628,0.0001074026,0.0001246583,0.0000982771,0.00009528846,0.00009708534,0.00003673876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002626686,"about_ca_system_score_gemma":0.000006035196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000168463,"about_ca_topic_score_gemma":0.0001126572,"domain_scores_codex":[0.9989595,0.00005678901,0.0001954139,0.0003782449,0.0001376229,0.0002724327],"domain_scores_gemma":[0.9995854,0.000132635,0.00004695634,0.0001714775,0.00000131358,0.0000621963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001889485,0.0001306472,0.8352029,0.0002589042,0.00004725672,0.0000366915,0.003357831,0.0009176436,0.1159967,0.0002196037,0.007611863,0.03603097],"study_design_scores_gemma":[0.005444014,0.0002978615,0.8317208,0.0007159984,0.0001465365,0.00006019295,0.003922913,0.01572456,0.09795521,0.0006548096,0.04220102,0.001156056],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945256,0.0002058869,0.002400618,0.0001770453,0.0001196726,0.0006960739,0.000044311,0.00005336271,0.001777486],"genre_scores_gemma":[0.9945544,0.000009550021,0.004383187,0.0001162207,0.00001904784,0.0001048436,0.00001954868,0.00001488649,0.0007783278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03487491,"threshold_uncertainty_score":0.5910828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240126937985817,"score_gpt":0.2314873673065654,"score_spread":0.2190860979267073,"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."}}