{"id":"W561336949","doi":"","title":"CITY OF NIAGARA FALLS PEOPLE MOVER PARKING STRATEGY STUDY","year":2004,"lang":"en","type":"article","venue":"ITE 2004 Annual Meeting and ExhibitInstitute of Transportation Engineers (ITE)","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; TRIPS architecture; Visitor pattern; Zoning; Traffic congestion; Transport engineering; Marketing; Engineering; Computer science","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":[0.0004482348,0.000303807,0.0003418887,0.001225165,0.005029977,0.002066795,0.000969941,0.0006490317,0.003586657],"category_scores_gemma":[0.001049705,0.0003172982,0.0002435134,0.00317726,0.0008216007,0.0008358346,0.001549276,0.0005995521,0.0006153322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01471616,"about_ca_system_score_gemma":0.02002672,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9322482,"about_ca_topic_score_gemma":0.9793307,"domain_scores_codex":[0.9991998,0.0001177264,0.00004274834,0.00008722391,0.0001872538,0.0003652164],"domain_scores_gemma":[0.9989115,0.00008423911,0.0001270776,0.00004693292,0.0004992818,0.0003309952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000204665,0.00111815,0.7017303,0.0006171213,0.00007316385,0.003430565,0.2167016,0.0003814974,0.001586227,0.004294646,0.02047942,0.04938271],"study_design_scores_gemma":[0.00001531742,0.0001738594,0.6300772,0.0001882779,0.0000218919,0.000370194,0.3330757,0.0002040391,0.0002723976,0.000108953,0.03545342,0.00003866386],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702266,0.0003084405,0.00009586486,0.0006398111,0.00001448688,0.0004063246,0.00129027,0.000006752101,0.02701152],"genre_scores_gemma":[0.9749395,0.001081903,0.0005711721,0.0005679657,0.00001042562,0.0007141804,0.001258445,0.00001000823,0.02084637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06775182,"threshold_uncertainty_score":0.1363016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01100859148679018,"score_gpt":0.2344149929565469,"score_spread":0.2234064014697567,"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."}}