{"id":"W1567987244","doi":"","title":"Canadian Study for R&D Needs and Priorities in Accessible Transportation","year":2010,"lang":"en","type":"article","venue":"TRANSED 2010: 12th International Conference on Mobility and Transport for Elderly and Disabled PersonsHong Kong Society for RehabilitationS K Yee Medical FoundationTransportation Research Board","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Order (exchange); Public relations; Business; Marketing; Political science; Engineering; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008487554,0.0002535124,0.0004891873,0.005037136,0.009733866,0.00489701,0.001877317,0.00107525,0.008007091],"category_scores_gemma":[0.01897619,0.0005215826,0.0005804072,0.01294726,0.001252695,0.001772935,0.002264564,0.001981654,0.0005718684],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1035392,"about_ca_system_score_gemma":0.2972232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.992852,"about_ca_topic_score_gemma":0.9942704,"domain_scores_codex":[0.9913073,0.0007907344,0.0004081885,0.0003242618,0.004791795,0.002377671],"domain_scores_gemma":[0.9590837,0.003219109,0.001921572,0.0005802057,0.02616125,0.009034178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002837107,0.0006499672,0.347291,0.004472025,0.0001035748,0.002378883,0.1899011,0.0006852163,0.001405139,0.04000814,0.2397973,0.1730238],"study_design_scores_gemma":[0.0000389594,0.0001426544,0.4629736,0.00176557,0.00005911032,0.0003684635,0.2422123,0.0005512815,0.0002776382,0.0007932853,0.2906721,0.0001451094],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6948914,0.01113282,0.0007237025,0.07719413,0.0004621521,0.00108008,0.01250537,0.0001074451,0.2019029],"genre_scores_gemma":[0.9579476,0.009231821,0.001929034,0.00467277,0.00005227133,0.0005212172,0.002956983,0.0000446517,0.02264365],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8964608,"threshold_uncertainty_score":0.7512326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05502267781442271,"score_gpt":0.3618890961786844,"score_spread":0.3068664183642617,"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."}}