{"id":"W2953917655","doi":"10.29173/mocs81","title":"Accessibility-Based Location Selection for Building Panelized Housing for Seniors","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Tianjin Science and Technology Committee; Alberta Innovates","keywords":"Unit (ring theory); Quality (philosophy); Transport engineering; Selection (genetic algorithm); Business; Subdivision; Set (abstract data type); Environmental economics; Architectural engineering; Computer science; Engineering; Civil engineering; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0008503777,0.0004798911,0.0004175832,0.003846859,0.0007621988,0.001481425,0.0007670358,0.0003373575,0.005436253],"category_scores_gemma":[0.002610443,0.0002180657,0.0005937424,0.002327999,0.0005071309,0.0008459129,0.00168194,0.0002181726,0.0007996305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009997308,"about_ca_system_score_gemma":0.001409013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009020694,"about_ca_topic_score_gemma":0.03195406,"domain_scores_codex":[0.999032,0.0004119643,0.0000441746,0.000122492,0.0002748091,0.0001145844],"domain_scores_gemma":[0.999015,0.0003502533,0.0001990076,0.00008941371,0.0002522955,0.0000941197],"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":[0.0007563834,0.0005306719,0.2825022,0.0007677907,0.0001155611,0.0009304939,0.00415675,0.0758691,0.01829233,0.01502246,0.005875181,0.5951812],"study_design_scores_gemma":[0.0001132869,0.001822919,0.4125873,0.0003254993,0.0002486997,0.001497253,0.02385119,0.5061936,0.01812325,0.01213744,0.02279413,0.0003053368],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.704307,0.0003141924,0.262309,0.0003168294,0.00002710613,0.00123458,0.00139838,0.0005182065,0.02957476],"genre_scores_gemma":[0.8743441,0.0001144375,0.122475,0.00001022326,0.000005519677,0.0002376863,0.0005308682,0.00001999576,0.002262358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009020694,"threshold_uncertainty_score":0.01818603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557774767622967,"score_gpt":0.2835381734748504,"score_spread":0.2679604257986207,"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."}}