{"id":"W2884736282","doi":"10.1002/ajim.22872","title":"Agricultural injuries among farm and non‐farm children and adolescents in Alberta, Canada","year":2018,"lang":"en","type":"article","venue":"American Journal of Industrial Medicine","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Spinal Cord Injury Alberta; McMaster University; Alberta Health; University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Agriculture; Incidence (geometry); Occupational safety and health; Environmental health; Rural area; Injury prevention; Poison control; Demography; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003007709,0.0002500139,0.0002333812,0.001067851,0.001113701,0.0006280991,0.0007652459,0.0003408696,0.001606382],"category_scores_gemma":[0.0005363717,0.0002264635,0.0002821158,0.001973189,0.000483052,0.0002172095,0.0005190119,0.0005019134,0.0001616521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01132478,"about_ca_system_score_gemma":0.01321707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9805726,"about_ca_topic_score_gemma":0.9927262,"domain_scores_codex":[0.9995889,0.00001591052,0.00001736607,0.00003919074,0.0001693381,0.0001692497],"domain_scores_gemma":[0.9994886,0.00002303829,0.0001326534,0.000008052877,0.0001765037,0.0001712584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002083542,0.0000277553,0.995244,0.00002612176,0.000009985718,0.0001602648,0.0005422592,0.00005167414,0.00008926413,0.00004417319,0.0006749104,0.003108737],"study_design_scores_gemma":[0.000002698372,0.00001674238,0.9979144,0.00002269612,0.000004731105,0.00007940942,0.001483094,0.0000532163,0.00002262001,0.000008534875,0.0003901055,0.000001788826],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957809,0.0006010821,0.00004295275,0.0002113172,0.000008491827,0.00003334824,0.00183273,0.000005812407,0.0014832],"genre_scores_gemma":[0.9964792,0.0008659269,0.0001346078,0.00009411298,0.000005370433,0.00001740794,0.001315292,0.000002294383,0.001085685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01942742,"threshold_uncertainty_score":0.08216739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007147664884801596,"score_gpt":0.1997102487437089,"score_spread":0.1925625838589073,"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."}}