{"id":"W2757235613","doi":"10.5539/jsd.v10n5p52","title":"Development of Parking Demand Model for Private Hospital in Developing Country (Case Study of Denpasar City, Indonesia)","year":2017,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Population; Park and ride; Transport engineering; Service (business); Capital city; Parking lot; Agricultural economics; Public transport; Environmental health; Geography; Marketing; Economics; Medicine; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0007152124,0.0006255762,0.0005598197,0.0006420051,0.0003614091,0.001179113,0.001254834,0.001063447,0.002860949],"category_scores_gemma":[0.001104453,0.0005513896,0.001230747,0.0006027226,0.0002436016,0.0007290578,0.0006135906,0.0006637754,0.0004027078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001343079,"about_ca_system_score_gemma":0.0009991123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05011258,"about_ca_topic_score_gemma":0.02926758,"domain_scores_codex":[0.9997835,0.0000660223,0.00001475123,0.00005549062,0.00001924861,0.00006090246],"domain_scores_gemma":[0.999371,0.0003563161,0.00006967962,0.00002078374,0.0001294421,0.00005274447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001214019,0.0001630563,0.01910771,0.00006341875,0.00004704111,0.0004965901,0.00009277059,0.9714741,0.0006213547,0.001590189,0.0009938029,0.005228556],"study_design_scores_gemma":[0.000004216943,0.00001770773,0.00197411,0.000003184281,0.000007605691,0.00002234915,0.00006120435,0.9974872,0.00006903528,0.000217711,0.0001301178,0.000005482564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.95428,0.000222302,0.03888445,0.0004215601,0.00003426406,0.00007364123,0.001439231,0.0001920767,0.004452384],"genre_scores_gemma":[0.9912319,0.00009812132,0.005131302,0.00002099876,0.000007903161,0.00006916363,0.0007776691,0.00001697263,0.002645953],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05011258,"threshold_uncertainty_score":0.0996418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03807893069523352,"score_gpt":0.2992657707728047,"score_spread":0.2611868400775712,"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."}}