{"id":"W4200253760","doi":"10.3311/pptr.16383","title":"Land Use as a Criterion for the Selection of the Trip Starting Locations of Park and Ride Mode Travelers","year":2021,"lang":"en","type":"article","venue":"Periodica Polytechnica Transportation Engineering","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"Budapesti Műszaki és Gazdaságtudományi Egyetem","keywords":"TRIPS architecture; Selection (genetic algorithm); Transport engineering; Mode (computer interface); Land use; Computer science; Destinations; Order (exchange); Operations research; Geography; Mathematics; Engineering; Civil engineering; Business; Tourism; Machine learning","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000222962,0.00007732664,0.0001200882,0.00005333971,0.0003148492,0.0000332119,0.00008153076,0.00007010763,0.0000177904],"category_scores_gemma":[0.0002081543,0.0000640326,0.00007385941,0.0003860564,0.0001020511,0.0001641639,0.000001307969,0.00008721837,7.989517e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001825563,"about_ca_system_score_gemma":0.000171902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008821413,"about_ca_topic_score_gemma":0.002002813,"domain_scores_codex":[0.9991918,0.00002775639,0.0003205567,0.000130398,0.0002016163,0.0001278589],"domain_scores_gemma":[0.9993062,0.0002499222,0.0001332514,0.0001014071,0.0001721148,0.00003712131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001113321,0.00009147522,0.08178151,0.0002685116,0.0001139378,8.902823e-7,0.04105691,0.8017169,0.05675705,0.01552472,0.00007295526,0.002503789],"study_design_scores_gemma":[0.001018855,0.00006776297,0.8500737,0.0002992516,0.0003588382,0.000002269032,0.004431385,0.1042993,0.03109624,0.0001463421,0.007883285,0.0003227462],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7985405,0.0002011912,0.1993355,0.001219218,0.0001107334,0.0003889674,0.0001044022,0.000071491,0.00002792815],"genre_scores_gemma":[0.9940225,0.0001726839,0.005585997,0.00003155831,0.00002134196,0.00004717709,0.00004243326,0.00001115956,0.00006518605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7682922,"threshold_uncertainty_score":0.2611174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556947346042679,"score_gpt":0.2665349662986161,"score_spread":0.2509654928381893,"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."}}