{"id":"W3124923335","doi":"","title":"I only get some satisfaction: Introducing satisfaction into measures of accessibility","year":2018,"lang":"en","type":"preprint","venue":"The Sydney eScholarship Repository (The University of Sydney)","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Metropolitan area; TRIPS architecture; Index (typography); Public transport; Transport engineering; Measure (data warehouse); Business; Destinations; Quality (philosophy); Marketing; Geography; Computer science; Environmental economics; Engineering; Economics; Tourism; World Wide Web; Data mining","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.008120759,0.0008841762,0.0008120764,0.002365129,0.001008547,0.004799566,0.001145167,0.001785648,0.004780512],"category_scores_gemma":[0.04175072,0.0006450225,0.001380301,0.004801481,0.005377917,0.01006973,0.003977941,0.003630201,0.0006165052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015861,"about_ca_system_score_gemma":0.001148596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004637129,"about_ca_topic_score_gemma":0.005132378,"domain_scores_codex":[0.9884433,0.008491445,0.0005990179,0.0007636586,0.001285554,0.0004169742],"domain_scores_gemma":[0.9609675,0.02923341,0.002718589,0.002359477,0.003488435,0.001232647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002418602,0.0002778076,0.1167958,0.0008750736,0.0005595125,0.0003312483,0.02963062,0.005780175,0.001191321,0.6362643,0.009983757,0.1980685],"study_design_scores_gemma":[0.00005634542,0.0005112238,0.08870134,0.0007919216,0.000296383,0.0004513105,0.01562294,0.03385762,0.001109215,0.8211639,0.03721583,0.0002220426],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2823048,0.004691171,0.6232103,0.02166904,0.00144324,0.0003194153,0.001293061,0.0003825928,0.06468643],"genre_scores_gemma":[0.9227569,0.0008448047,0.07137346,0.0009541001,0.0002742826,0.0002985797,0.0003424738,0.0001428627,0.003012534],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008120759,"threshold_uncertainty_score":0.04294717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02808625840917354,"score_gpt":0.2666540192283553,"score_spread":0.2385677608191818,"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."}}