{"id":"W2748695092","doi":"10.3141/2652-10","title":"Perceived Reality","year":2017,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Customer satisfaction; Public transport; Context (archaeology); Perception; Crowding; Service quality; Service (business); Transport engineering; Marketing; Business; Computer science; Engineering; Psychology; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.009647871,0.0002137504,0.0004146289,0.0006619054,0.006231369,0.000627655,0.002395634,0.0002911472,0.0005657584],"category_scores_gemma":[0.001057281,0.0001723797,0.0004220711,0.0009429719,0.002312321,0.001528478,0.00000652906,0.00208863,0.00003744448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002942822,"about_ca_system_score_gemma":0.001417087,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.08440566,"about_ca_topic_score_gemma":0.2982568,"domain_scores_codex":[0.9903153,0.00206035,0.001242979,0.0004153683,0.004964828,0.001001176],"domain_scores_gemma":[0.9910323,0.0009258715,0.0009064148,0.0008637829,0.005720737,0.0005509023],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001256955,0.000358234,0.8884218,0.0001527437,0.0001735096,0.0001701187,0.0366096,0.002265782,0.0008924096,0.03747107,0.02151004,0.01071775],"study_design_scores_gemma":[0.0009964887,0.0001585509,0.9121026,0.0002512572,0.00004170884,1.215121e-7,0.005905871,0.00004373525,0.0001193755,0.004245328,0.07596628,0.0001687028],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707933,0.00009608214,0.001452392,0.02020065,0.001255817,0.0009184905,0.00007647736,0.00005443469,0.005152348],"genre_scores_gemma":[0.9929246,0.001525881,0.001539439,0.00005256479,0.0004713638,0.0000367833,0.00002028342,0.00004108791,0.003387959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2138511,"threshold_uncertainty_score":0.9950624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1858991918718371,"score_gpt":0.4643124311065994,"score_spread":0.2784132392347622,"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."}}