{"id":"W275975916","doi":"","title":"Tough Times Call for Smart Technologies","year":2009,"lang":"en","type":"article","venue":"Parking Today","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Phone; Miami; Revenue; Service (business); Business; Capital (architecture); State (computer science); Telecommunications; Finance; Marketing; Engineering; Computer science; Geography","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":[0.0003300534,0.0001664024,0.0002150944,0.000147352,0.00009330284,0.00007070763,0.0003262224,0.0001442371,0.00001737952],"category_scores_gemma":[0.0001893791,0.0001598566,0.00007719165,0.0002182664,0.00003126878,0.00008299658,0.0000306999,0.0001785773,0.000108544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009219353,"about_ca_system_score_gemma":0.0000150559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009435137,"about_ca_topic_score_gemma":0.000007296488,"domain_scores_codex":[0.9988434,0.0000180888,0.0002194079,0.0002221191,0.0001988716,0.0004981343],"domain_scores_gemma":[0.9993391,0.000174126,0.00002257556,0.0003795516,0.00004364245,0.00004098068],"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":[0.00006827751,0.0001002807,0.006635898,0.0004802328,0.0002466503,0.00005386128,0.001058355,0.00633462,0.06531986,0.008079547,0.4838379,0.4277845],"study_design_scores_gemma":[0.0004883626,0.0001094867,0.002474615,0.0001676551,0.00001447307,0.00002118778,0.00008651967,0.02620707,0.04854226,0.003701743,0.9176982,0.0004884001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2945224,0.01747207,0.131626,0.009901437,0.007819859,0.006429913,0.0001063901,0.03728471,0.4948372],"genre_scores_gemma":[0.9948733,0.00003701618,0.003172635,0.00003103339,0.0001664252,0.0001000689,0.000006758043,0.00003539339,0.001577368],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7003509,"threshold_uncertainty_score":0.6518763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01742076081274702,"score_gpt":0.2625508113326811,"score_spread":0.2451300505199341,"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."}}