{"id":"W4285378206","doi":"10.21606/nordes.2021.50","title":"Scaling up and down: Landscape design processes and choreographic inquiry","year":2021,"lang":"en","type":"article","venue":"Nordic design research conference","topic":"Art, Technology, and Culture","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Landscape design; Computer science; Motion (physics); Scale (ratio); Architectural engineering; Geography; Environmental resource management; Engineering; Artificial intelligence; Environmental science; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01499674,0.0009307318,0.0007012235,0.004678746,0.007662314,0.01508713,0.001761692,0.001728843,0.006219824],"category_scores_gemma":[0.03546058,0.0009504964,0.0008527812,0.004276629,0.03298998,0.01439675,0.01395619,0.002672542,0.000670825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004613886,"about_ca_system_score_gemma":0.003337927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01088245,"about_ca_topic_score_gemma":0.00990444,"domain_scores_codex":[0.9745634,0.01938783,0.0005586983,0.002465635,0.002055784,0.0009686687],"domain_scores_gemma":[0.9782706,0.014728,0.00120223,0.003750037,0.001202954,0.0008461426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006950264,0.00003739152,0.00483649,0.0002002189,0.00002348874,0.0004415142,0.8176928,0.001057112,0.002978913,0.1136976,0.001454317,0.05751067],"study_design_scores_gemma":[0.00002697265,0.00009772551,0.01239164,0.0005472552,0.0000435369,0.0004523352,0.6657137,0.005430643,0.002686223,0.1621968,0.1503155,0.00009764875],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.503683,0.001848835,0.2890469,0.006724377,0.0002299284,0.0007816378,0.0001985468,0.0007707331,0.1967161],"genre_scores_gemma":[0.9578071,0.0003432738,0.03306609,0.00020502,0.00002842104,0.0002894228,0.00008451423,0.0004230547,0.007753044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01508713,"threshold_uncertainty_score":0.07931125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2237259828271116,"score_gpt":0.3454527628962835,"score_spread":0.1217267800691718,"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."}}