{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009350611,0.00020811,0.0003055007,0.0001841558,0.0009278648,0.0003504949,0.0001556426,0.0002327761,0.00003854271],"category_scores_gemma":[0.0001488046,0.000216602,0.0001427212,0.0005379911,0.0002511513,0.001078153,0.0000138303,0.0001303123,0.00000184986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001744685,"about_ca_system_score_gemma":0.0001822753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00029668,"about_ca_topic_score_gemma":0.0003105161,"domain_scores_codex":[0.998212,0.00002203474,0.0003937196,0.0006728909,0.0002831084,0.0004162105],"domain_scores_gemma":[0.9986119,0.00008654417,0.0002670531,0.00009450888,0.0008100215,0.000130003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003199875,0.0000491157,0.9586215,0.0005501792,0.00002930679,6.192543e-8,0.0007623431,0.00005734909,0.0110919,0.004329051,0.00006124281,0.02412796],"study_design_scores_gemma":[0.02018945,0.001067758,0.4774617,0.001174188,0.001255143,0.000006468685,0.02371491,0.1687686,0.1418827,0.04546091,0.1148308,0.004187411],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9329755,0.00008289076,0.06396721,0.0003157009,0.0005378802,0.001649377,0.00001318531,0.0002103141,0.0002479153],"genre_scores_gemma":[0.9757389,0.00001034878,0.02346074,0.00009049922,0.0003452522,0.000106575,0.00003081733,0.00002619413,0.0001907027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4811598,"threshold_uncertainty_score":0.8832774,"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."}}