{"id":"W2953124933","doi":"10.29173/bluejay378","title":"Collisions and Other Calamities","year":2019,"lang":"en","type":"article","venue":"Blue Jay","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Kennedy Space Center","keywords":"Window (computing); Environmental science; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.000490433,0.0003967308,0.0003669427,0.001228736,0.006869244,0.005395713,0.0009192037,0.002109944,0.009178213],"category_scores_gemma":[0.001438259,0.0002664388,0.0006336023,0.001049636,0.001461819,0.001961373,0.004834713,0.001942379,0.0007358764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005019937,"about_ca_system_score_gemma":0.004844688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1575923,"about_ca_topic_score_gemma":0.4662504,"domain_scores_codex":[0.9990061,0.0001563572,0.00002489223,0.00007283611,0.0001577715,0.0005820033],"domain_scores_gemma":[0.9992368,0.0000677684,0.0001288677,0.00002188735,0.000124122,0.0004204909],"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":[0.001103969,0.001273672,0.2403089,0.000616063,0.0003100518,0.003669887,0.06601773,0.001440999,0.002546159,0.08261998,0.3876172,0.2124755],"study_design_scores_gemma":[0.00002444403,0.0002744248,0.3217039,0.001072935,0.00003198012,0.001058224,0.1456435,0.000216115,0.0001797686,0.00674693,0.5229689,0.00007885997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.582441,0.06752142,0.0007878433,0.06136965,0.008150594,0.0001170163,0.001209761,0.00006690829,0.2783358],"genre_scores_gemma":[0.8868569,0.02848961,0.000367163,0.009283273,0.003443267,0.0000622561,0.0006989052,0.00004101211,0.07075765],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1575923,"threshold_uncertainty_score":0.31335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0148204137122635,"score_gpt":0.1808032837103873,"score_spread":0.1659828699981238,"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."}}