{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001948529,0.0007911164,0.0003976966,0.0008357972,0.002712232,0.005753246,0.001134991,0.008837246,0.2263317],"category_scores_gemma":[0.007102556,0.0003955571,0.0007552843,0.0006436605,0.001154527,0.005779589,0.003325583,0.006776786,0.0947596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008905029,"about_ca_system_score_gemma":0.001760177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001202501,"about_ca_topic_score_gemma":0.002903364,"domain_scores_codex":[0.9981511,0.0002182646,0.00008472425,0.0002027651,0.00101259,0.0003305373],"domain_scores_gemma":[0.9959732,0.0007842519,0.0001897567,0.0003621153,0.001074577,0.00161611],"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":[0.0000167341,0.00002306309,0.00008592437,0.00003507423,0.000002752899,0.00008400136,0.00006120626,0.00002476747,0.0003152773,0.006373737,0.9722721,0.02070551],"study_design_scores_gemma":[0.000003753122,0.000015849,0.0001822186,0.00002195795,0.000001476726,0.0000619848,0.0001421688,0.0000343635,0.00006201277,0.000945099,0.9985241,0.000005010086],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.004984725,0.009401925,0.006412947,0.3692709,0.1324326,0.0001812986,0.0009900996,0.00217478,0.4741508],"genre_scores_gemma":[0.01669283,0.004441117,0.003393975,0.09623042,0.0166586,0.000133807,0.0008182944,0.0006176786,0.8610133],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.2263317,"threshold_uncertainty_score":0.757155,"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."}}