{"id":"W4390948577","doi":"10.1080/01441647.2024.2305202","title":"Modelling parking behaviour of commercial vehicles: a scoping review","year":2024,"lang":"en","type":"review","venue":"Transport Reviews","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Transport engineering; Parking guidance and information; Economic shortage; Commercial vehicle; Service (business); Park and ride; Car parking; Business; Engineering; Marketing; Public transport; Government (linguistics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00608919,0.001556528,0.00242412,0.008011137,0.000507349,0.002937826,0.001703709,0.001996539,0.002822632],"category_scores_gemma":[0.02388756,0.000936567,0.003452472,0.008442581,0.0007435682,0.002779783,0.001082485,0.001042652,0.0007582078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001872298,"about_ca_system_score_gemma":0.01062191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01515251,"about_ca_topic_score_gemma":0.02218959,"domain_scores_codex":[0.9970822,0.001023696,0.0007809839,0.0003376796,0.0006832402,0.00009221405],"domain_scores_gemma":[0.9798238,0.01565751,0.001700706,0.000311986,0.002384391,0.000121579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00008279795,0.00008766683,0.001506224,0.448377,0.001308601,0.0002255005,0.0008137972,0.002701043,0.000483627,0.003996026,0.007578707,0.5328391],"study_design_scores_gemma":[0.00002732894,0.000290593,0.005021516,0.7039343,0.007345734,0.0006463696,0.001537921,0.001374461,0.0008694106,0.004043219,0.2748037,0.0001053627],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007344353,0.9971442,0.0007193126,0.0002459081,0.00008985347,0.00007979669,0.000182416,0.000009253741,0.0007948087],"genre_scores_gemma":[0.004701218,0.9938912,0.000851752,0.00008570688,0.00002966592,0.00008923587,0.0001671474,0.000004412676,0.0001795905],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01515251,"threshold_uncertainty_score":0.03220314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.183468435183076,"score_gpt":0.4021593227262448,"score_spread":0.2186908875431688,"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."}}