{"id":"W2400273977","doi":"","title":"Taming More Than Lions","year":2016,"lang":"en","type":"article","venue":"˜The œParking professional","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Traffic congestion; Queueing theory; Engineering; Business; Computer science; Operations research; Computer network","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":[],"consensus_categories":[],"category_scores_codex":[0.0006154065,0.0001792814,0.0001596508,0.0001281286,0.0003416837,0.00004015702,0.0004687759,0.0001163608,0.0001913747],"category_scores_gemma":[0.00003706123,0.00009565528,0.00007171647,0.000246321,0.0001046147,0.000123287,0.0001675629,0.0003099182,0.0004920397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001274767,"about_ca_system_score_gemma":0.00006576338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001760481,"about_ca_topic_score_gemma":0.000026981,"domain_scores_codex":[0.9982896,0.0001218265,0.0002604072,0.0002236981,0.0005794215,0.0005249841],"domain_scores_gemma":[0.9988357,0.0005181021,0.00003952921,0.0004437811,0.00005899545,0.0001038678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001574872,0.000254565,0.156928,0.0007021611,0.0007263419,0.0001415394,0.01488045,0.001506015,0.3058877,0.007473432,0.3101857,0.2011566],"study_design_scores_gemma":[0.00112411,0.00003489024,0.08564984,0.002083219,0.00002277683,0.00008727825,0.001018307,0.00910982,0.004500614,0.0005914072,0.8950223,0.0007554192],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490244,0.0007240954,0.005506402,0.002764553,0.008225551,0.0008326984,0.00004100824,0.001336546,0.03154472],"genre_scores_gemma":[0.9868085,0.00001066888,0.0001281637,0.00005260114,0.000693713,0.000139171,0.000004455115,0.00006091531,0.0121018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5848366,"threshold_uncertainty_score":0.632434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170893990516356,"score_gpt":0.2877205495623179,"score_spread":0.2660116096571544,"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."}}