{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00157879,0.0001906411,0.0001935834,0.0001028963,0.0006492874,0.00009432014,0.000202267,0.000159297,0.003286135],"category_scores_gemma":[0.00008362656,0.0001922597,0.0001043016,0.0003062924,0.0001008779,0.0002602605,0.000003884706,0.0001919941,0.00003256473],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009900307,"about_ca_system_score_gemma":0.00004123333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003961496,"about_ca_topic_score_gemma":0.0003805199,"domain_scores_codex":[0.9979035,0.0001895441,0.0004152628,0.0003242264,0.0005854384,0.0005820728],"domain_scores_gemma":[0.9993152,0.0001899572,0.0001213064,0.0001034541,0.00008491301,0.0001851615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001026751,0.0005211855,0.6818449,0.0003980946,0.0003888894,0.0003414585,0.1884726,0.005907891,0.01191682,0.003421468,0.07907833,0.02668156],"study_design_scores_gemma":[0.004278885,0.0001439022,0.6482423,0.0005195756,0.0004224018,0.000003152245,0.04176657,0.006329976,0.003946905,0.001717623,0.2896505,0.002978195],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3853596,0.0006056966,0.2905377,0.002043805,0.00210748,0.0008419351,0.0000690139,0.0008540365,0.3175808],"genre_scores_gemma":[0.9845004,0.0001823073,0.007842131,0.00020559,0.000224783,0.000007149966,0.0001251288,0.00002906843,0.006883452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5991408,"threshold_uncertainty_score":0.997625,"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."}}