{"id":"W4401130601","doi":"10.18280/ijsdp.190705","title":"Employing 360° Video Panorama Technology to Determine the Impact of Details on the Collective Memory of the Urban Scene","year":2024,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panorama; Computer science; Computer graphics (images); Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001538951,0.0001061664,0.0001668429,0.0004050475,0.0001531178,0.0001590016,0.0009436513,0.00003827559,0.000004599858],"category_scores_gemma":[0.000566666,0.00004978058,0.00008597949,0.0006662827,0.00006082714,0.0001940217,0.0002598546,0.0002414696,5.637758e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001827803,"about_ca_system_score_gemma":0.0006498832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001789428,"about_ca_topic_score_gemma":0.000001322203,"domain_scores_codex":[0.9988403,0.0001059905,0.0003741663,0.0001212461,0.0003814408,0.0001768588],"domain_scores_gemma":[0.9981704,0.0007880738,0.0002448061,0.0001384718,0.0006285075,0.00002975414],"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":[0.0008197751,0.0002438033,0.3216645,0.0002139751,0.003797346,0.002933498,0.1406838,0.02280503,0.008223672,0.03899233,0.007932263,0.45169],"study_design_scores_gemma":[0.001535761,0.001183399,0.7303295,0.004170639,0.00007058539,0.001268978,0.03019218,0.01108805,0.1726979,0.03720129,0.009558826,0.0007028304],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762918,0.0006652995,0.01958464,0.002590444,0.0003588906,0.0001387232,0.000001063011,0.00001091185,0.0003582207],"genre_scores_gemma":[0.9953893,0.000008224338,0.004119753,0.00009923567,0.00006653662,0.000005077162,1.679859e-7,0.000005735672,0.0003059012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4509872,"threshold_uncertainty_score":0.2029993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02591051000731377,"score_gpt":0.3204753318191675,"score_spread":0.2945648218118538,"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."}}