{"id":"W2802801201","doi":"10.1155/2018/9865305","title":"Comprehensive Evaluation and Classification of Interchange Diagrammatic Guide Signs’ Complexity","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Safety Warnings and Signage","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diagrammatic reasoning; Computer science; Cluster analysis; Graph; Diagram; Data mining; Perspective (graphical); Visualization; Algorithm; Machine learning; Artificial intelligence; Theoretical computer science; Database","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":[0.005321531,0.0006515839,0.0005194373,0.008362331,0.0006372149,0.002448261,0.0005746235,0.0005544823,0.002413203],"category_scores_gemma":[0.03030205,0.0002040078,0.0006993395,0.003185212,0.0008358561,0.004058695,0.001864784,0.000535538,0.0003431266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001424909,"about_ca_system_score_gemma":0.001485948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002262376,"about_ca_topic_score_gemma":0.003470958,"domain_scores_codex":[0.9898028,0.002387909,0.001113114,0.0005254977,0.00581437,0.0003562812],"domain_scores_gemma":[0.9692914,0.01029512,0.003879586,0.001859407,0.01359558,0.001079066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00054333,0.0004157041,0.3448068,0.001695999,0.0003583547,0.0004091765,0.01592076,0.00859497,0.01936155,0.01249092,0.005170037,0.5902324],"study_design_scores_gemma":[0.00005717808,0.001399428,0.8396575,0.0008111343,0.0006110854,0.0009168363,0.0294836,0.04871394,0.02567452,0.01217032,0.04015198,0.0003524647],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9237347,0.0007317753,0.05172932,0.000348183,0.00004425158,0.0005290675,0.0005991274,0.0004091589,0.02187449],"genre_scores_gemma":[0.9693924,0.0004617513,0.02711937,0.00002995177,0.00001583279,0.0002432232,0.0008316871,0.00004179934,0.001864008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008362331,"threshold_uncertainty_score":0.02814329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112197159988393,"score_gpt":0.3912729580425196,"score_spread":0.2790757980541266,"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."}}