{"id":"W570137553","doi":"","title":"SELF-TAG BAGS : PASSENGERS ARE AVOIDING CHECK-IN COUNTER QUEUES BY TAGGING THEIR OWN BAGGAGE IN A MONTREAL PILOT PROGRAMME","year":2004,"lang":"en","type":"article","venue":"Airports international","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interactive kiosk; Check-in; Installation; Transport engineering; Computer security; Engineering; Computer science; Advertising; Business; World Wide Web; Operating system","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":[0.001742747,0.000949545,0.000268954,0.0006728608,0.002277021,0.001670559,0.001933113,0.0007079738,0.02153887],"category_scores_gemma":[0.004314397,0.0004717912,0.0004029401,0.0005519973,0.001214784,0.001416675,0.00144951,0.0008637222,0.002878856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00356492,"about_ca_system_score_gemma":0.006931568,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4113795,"about_ca_topic_score_gemma":0.6128798,"domain_scores_codex":[0.9988546,0.0002914117,0.00002417541,0.0001305451,0.0003259839,0.0003731706],"domain_scores_gemma":[0.9968988,0.0004140915,0.0001696361,0.0002969819,0.001084778,0.001135831],"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":[0.002756824,0.007674879,0.2005012,0.0006568282,0.0001211408,0.0023178,0.01457254,0.002898663,0.02213944,0.003048085,0.2275996,0.515713],"study_design_scores_gemma":[0.001643395,0.01756215,0.5925169,0.000398994,0.0002794495,0.001318031,0.02331606,0.01147861,0.01859276,0.0009214267,0.3314002,0.0005721561],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9195576,0.0002569506,0.005258247,0.003046236,0.0002707435,0.00149683,0.001752699,0.003862089,0.06449851],"genre_scores_gemma":[0.9218906,0.0003452188,0.01164767,0.0009201769,0.00008030089,0.0005786507,0.002127164,0.0003704963,0.06203968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5886205,"threshold_uncertainty_score":0.81797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01401848898365653,"score_gpt":0.187195941478796,"score_spread":0.1731774524951395,"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."}}