{"id":"W133452084","doi":"","title":"MUNI METRO GOES POP: IMPLEMENTING PROOF OF PAYMENT FARE COLLECTION ON MUNI METRO","year":2000,"lang":"en","type":"article","venue":"","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Signage; Transport engineering; Payment; Ticket; Data collection; Computer science; Engineering; Operations research; Telecommunications; Business; Computer security; Advertising; World Wide Web","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":[0.004162515,0.0006559707,0.0002883328,0.0009480941,0.002349831,0.003262263,0.002338187,0.00134186,0.01640438],"category_scores_gemma":[0.008420439,0.0006381256,0.0003685826,0.0007999243,0.001338359,0.0035695,0.003035866,0.002180773,0.004155675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004013692,"about_ca_system_score_gemma":0.006749553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04438485,"about_ca_topic_score_gemma":0.07085758,"domain_scores_codex":[0.9968055,0.0007165277,0.0001151121,0.0003640882,0.001265303,0.0007333916],"domain_scores_gemma":[0.9937146,0.001120279,0.0003401008,0.001032713,0.002527435,0.00126479],"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":[0.001512583,0.004633241,0.0326864,0.0006360575,0.0001109637,0.003739752,0.01446455,0.01090762,0.03377549,0.02478475,0.1824654,0.6902832],"study_design_scores_gemma":[0.0005798536,0.002748037,0.03503127,0.0003965927,0.0001033379,0.000873806,0.01111535,0.02926838,0.02201006,0.002868564,0.894722,0.0002827544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6079049,0.0004981293,0.08150828,0.007450984,0.0006180279,0.003869125,0.0009696802,0.03353119,0.2636497],"genre_scores_gemma":[0.6925474,0.000551137,0.1942917,0.001890503,0.0001474214,0.000890613,0.003177014,0.003137292,0.1033669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04438485,"threshold_uncertainty_score":0.08825296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02285740903520798,"score_gpt":0.3126923269270807,"score_spread":0.2898349178918727,"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."}}