{"id":"W6989061298","doi":"","title":"Achieving Sustainable Inter&amp;#8208;City Transport in Ireland","year":2011,"lang":"en","type":"other","venue":"Arrow@dit (Dublin Institute of Technology)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Government (linguistics); Investment (military); Mode (computer interface); Sustainable transport; Preference; Irish; Mode choice","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008759199,0.0002091761,0.000111163,0.0004390127,0.001071831,0.002149496,0.0007227837,0.0003538889,0.02552452],"category_scores_gemma":[0.001571409,0.0001878517,0.0002493835,0.0007275867,0.0006608256,0.001638684,0.002881845,0.0005760778,0.00560191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004209213,"about_ca_system_score_gemma":0.008987068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1173367,"about_ca_topic_score_gemma":0.2477521,"domain_scores_codex":[0.9991106,0.0001557641,0.00003298137,0.00007024084,0.0002628903,0.0003674283],"domain_scores_gemma":[0.99932,0.00004733652,0.00006965381,0.00006144583,0.0002364557,0.0002650927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004054109,0.0007065018,0.1022252,0.0009377256,0.0000331846,0.001273623,0.0125588,0.003955702,0.004466835,0.03091043,0.2859689,0.5565575],"study_design_scores_gemma":[0.00003733859,0.0003481405,0.2445771,0.0003319695,0.00001614771,0.0005838315,0.04803702,0.00235327,0.002882141,0.003451747,0.6972955,0.00008595893],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.305436,0.0008932829,0.003202675,0.004637921,0.0001839795,0.0003077858,0.001709705,0.0003442862,0.6832843],"genre_scores_gemma":[0.7294263,0.001331178,0.004913092,0.0004992287,0.00002674709,0.0001903701,0.002525086,0.0001977423,0.2608902],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1173367,"threshold_uncertainty_score":0.2333074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165236460900293,"score_gpt":0.2539068770601507,"score_spread":0.2322545124511478,"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."}}