{"id":"W2789516811","doi":"10.5539/mas.v12n4p38","title":"Negative Binomial Regression Model for Road Crash Severity Prediction","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Traffic and Road Safety","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Descriptive statistics; Statistics; Statistic; Negative binomial distribution; Evening; Regression analysis; Binomial regression; Morning; Logistic regression; Medicine; Demography; Computer science; Mathematics","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":[0.006548488,0.001652887,0.001914013,0.00237735,0.0007828765,0.001750768,0.003574198,0.001721213,0.01052904],"category_scores_gemma":[0.01238475,0.000754667,0.00201787,0.002195347,0.000614723,0.002119165,0.001152556,0.003360318,0.004546535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001224127,"about_ca_system_score_gemma":0.001709325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.022959,"about_ca_topic_score_gemma":0.01216041,"domain_scores_codex":[0.9965606,0.001811736,0.0001674399,0.0006911987,0.0004222347,0.0003467914],"domain_scores_gemma":[0.9949582,0.003346218,0.0004554196,0.0001763793,0.0009520263,0.0001117162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008251643,0.0007462705,0.07500207,0.0006731877,0.0006932324,0.001479307,0.0006823377,0.697996,0.001469271,0.04969312,0.01509111,0.155649],"study_design_scores_gemma":[0.00002595305,0.0001141968,0.003592361,0.00005227682,0.00006475655,0.0001310708,0.00007698646,0.9864992,0.0001280978,0.006039994,0.003241574,0.00003352961],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1399396,0.003726945,0.8369262,0.001716132,0.0007761415,0.0007467337,0.004151489,0.002390562,0.009626274],"genre_scores_gemma":[0.8182976,0.003624247,0.1397514,0.0003696368,0.0005345703,0.00160589,0.006425739,0.0003257678,0.02906523],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.022959,"threshold_uncertainty_score":0.04565072,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656865902855097,"score_gpt":0.2365799258347449,"score_spread":0.220011266806194,"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."}}