{"id":"W2013292545","doi":"10.1002/ajim.20967","title":"What we are not talking about: An evaluation of prevention messaging in print media reporting on agricultural injuries and fatalities","year":2011,"lang":"en","type":"article","venue":"American Journal of Industrial Medicine","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Provincial Laboratory of Public Health; University of Alberta","funders":"","keywords":"Medicine; Newspaper; Mass media; Occupational safety and health; Print media; Environmental health; Injury prevention; Suicide prevention; Poison control; Case fatality rate; Medical emergency; Family medicine; Advertising; Business; Population; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.05702114,0.0006577169,0.001422921,0.003086368,0.002204121,0.003698902,0.001639128,0.001706511,0.003301566],"category_scores_gemma":[0.2180483,0.000721393,0.002263607,0.002173236,0.00176265,0.006286115,0.003094103,0.00232018,0.000534551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00329438,"about_ca_system_score_gemma":0.005833907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00435872,"about_ca_topic_score_gemma":0.004532032,"domain_scores_codex":[0.9551233,0.02260428,0.007015628,0.001576764,0.01242875,0.001251244],"domain_scores_gemma":[0.6733281,0.2522699,0.04294867,0.004007789,0.01951299,0.00793257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0220682,0.01145489,0.6012619,0.01644157,0.001698495,0.0005118031,0.0617651,0.0003855773,0.0009606561,0.0006367823,0.003829869,0.2789852],"study_design_scores_gemma":[0.002971765,0.03225771,0.8814057,0.005202535,0.004233977,0.0005163894,0.06057436,0.001932282,0.001627224,0.0005624745,0.008438224,0.000277453],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856149,0.002311316,0.0004725711,0.001520686,0.0002763901,0.002818797,0.0003969314,0.00006127927,0.006527186],"genre_scores_gemma":[0.9892399,0.00195517,0.002598329,0.0008810987,0.0002361254,0.003873782,0.0003252308,0.00002725728,0.0008631751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05702114,"threshold_uncertainty_score":0.3015602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1571132796914247,"score_gpt":0.3187897192173511,"score_spread":0.1616764395259264,"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."}}