{"id":"W3186541905","doi":"10.1007/s11116-021-10209-0","title":"Do frequent satisfying trips by public transport impact its intended use in later life?","year":2021,"lang":"en","type":"article","venue":"Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"Engineering and Physical Sciences Research Council","keywords":"TRIPS architecture; Public transport; Mode choice; Affect (linguistics); Travel behavior; Mode (computer interface); Mode of transport; Life satisfaction; Travel survey; Psychology; Transport engineering; Business; Demographic economics; Marketing; Public economics; Social psychology; Engineering; Economics; Computer science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001017304,0.0002469582,0.0003433298,0.0007515036,0.0004685636,0.001380581,0.0005556205,0.0007559317,0.003975275],"category_scores_gemma":[0.006107199,0.000282878,0.0009952569,0.0009410572,0.0005529452,0.0007081932,0.0006859805,0.0009114662,0.0003838734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006862221,"about_ca_system_score_gemma":0.0006284036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04627707,"about_ca_topic_score_gemma":0.06083276,"domain_scores_codex":[0.9994154,0.0001607781,0.00005858083,0.00007845083,0.0001122375,0.000174515],"domain_scores_gemma":[0.9949184,0.001042847,0.002149192,0.0002691413,0.0006223694,0.0009980034],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000369195,0.0000671317,0.9978843,0.000009784428,0.00004241481,0.00002651043,0.0003936228,0.00004613159,0.00005995244,0.00003072145,0.0000613517,0.001341111],"study_design_scores_gemma":[6.691557e-7,0.00003018357,0.9991972,0.000005070215,0.000008427746,0.00001573709,0.0005422423,0.00008529583,0.00002234393,0.00001552468,0.00007475194,0.000002522863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989097,0.0001321382,0.00004996694,0.0001103145,0.000006184081,0.000005721593,0.0002501847,0.000002497835,0.0005332931],"genre_scores_gemma":[0.9995202,0.00006957958,0.00003350521,0.00001309493,0.000003576238,0.000004148671,0.0001448546,0.000001256337,0.000209827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04627707,"threshold_uncertainty_score":0.09201545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06312089846681045,"score_gpt":0.3276550315140861,"score_spread":0.2645341330472757,"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."}}