{"id":"W634294833","doi":"","title":"Targeting Markets: Targeting Different Market Segments Makes This Agency's Numbers Grow","year":2007,"lang":"en","type":"article","venue":"Mass transit","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transit (satellite); Schedule; Agency (philosophy); Business; Transport engineering; Transit system; Public transport; Transit-oriented development; Rail transit; Shore; Finance; Agricultural economics; Marketing; Engineering; Economics","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":[0.006511502,0.001077647,0.0007172679,0.002636204,0.001138449,0.006162298,0.001934429,0.004037032,0.04261135],"category_scores_gemma":[0.006754945,0.0005889205,0.001172077,0.001786284,0.0009014025,0.007975633,0.003013786,0.002226808,0.01732488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001539854,"about_ca_system_score_gemma":0.004246784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007156833,"about_ca_topic_score_gemma":0.01007212,"domain_scores_codex":[0.9965417,0.0009822922,0.0001342434,0.0005756772,0.00131556,0.0004505712],"domain_scores_gemma":[0.9884184,0.002495424,0.001016095,0.0009766034,0.004573061,0.00252047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002706345,0.0005439202,0.01377066,0.000296223,0.00004420907,0.0001703642,0.000567049,0.0008519772,0.00444484,0.01475702,0.2183327,0.7459505],"study_design_scores_gemma":[0.0001199277,0.0004394653,0.01381032,0.0001599862,0.00007068652,0.0005108545,0.001509182,0.004485509,0.002488929,0.005612681,0.9707227,0.00006971078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06584527,0.01568082,0.07920472,0.2136073,0.008001232,0.001280524,0.002869089,0.003533308,0.6099778],"genre_scores_gemma":[0.3544931,0.02605717,0.1148454,0.03128109,0.007154089,0.00147302,0.004022767,0.002061666,0.4586117],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04261135,"threshold_uncertainty_score":0.1425492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01093467079388908,"score_gpt":0.2570522547425741,"score_spread":0.2461175839486851,"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."}}