{"id":"W4293793413","doi":"10.24908/cppapc.v2022i1.15440","title":"Virtual Density","year":2022,"lang":"en","type":"article","venue":"Canadian Planning and Policy / Aménagement et politique au Canada","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Headset; Visualization; Human–computer interaction; Virtual reality; Computer science; Process (computing); Component (thermodynamics); Perception; Graphics; Computer graphics; Multimedia; Interface (matter); Computer graphics (images); Artificial intelligence; Psychology; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002091537,0.0001395803,0.0001114719,0.0000905974,0.0007020034,0.00004222766,0.0001873004,0.00002598227,0.01231583],"category_scores_gemma":[0.0000425304,0.0001661209,0.00002267742,0.0002347559,0.00007821008,0.0000672091,0.000214817,0.0001836086,0.00002572796],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007437218,"about_ca_system_score_gemma":0.001342025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992529,"about_ca_topic_score_gemma":0.9992736,"domain_scores_codex":[0.9986084,0.0000916825,0.0001309431,0.0002489016,0.0002732299,0.0006468979],"domain_scores_gemma":[0.9990559,0.00003493313,0.00004442918,0.0001791649,0.000005476053,0.0006801091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008440275,0.00001301708,0.1268916,0.000008098338,0.00002146277,0.0002616045,0.001625811,0.0006841797,0.00003879831,0.156939,0.7128905,0.0006174413],"study_design_scores_gemma":[0.0001320906,0.00003174131,0.2505375,0.000002783582,0.000005030947,0.00003289783,0.003573396,0.00002844336,0.00001949617,0.00009979556,0.7453642,0.0001725223],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7369491,0.00002074797,0.000005173028,0.01455486,0.0001945717,0.0001201696,0.0008233145,0.00002381959,0.2473083],"genre_scores_gemma":[0.9672199,0.00000692465,0.0000032499,0.02941749,0.00006571554,0.00003107847,0.0001993915,0.0000121466,0.00304413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2442641,"threshold_uncertainty_score":0.9963731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599673065170024,"score_gpt":0.2461483793153149,"score_spread":0.2301516486636146,"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."}}