{"id":"W2092444151","doi":"10.13031/2013.42542","title":"Evaluation of Implement Monitoring Systems","year":2013,"lang":"en","type":"article","venue":"Journal of Agricultural Safety and Health","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Poison control; Engineering; Forensic engineering; Occupational safety and health; Human factors and ergonomics; Injury prevention; Computer science; Reliability engineering; Transport engineering; Medical emergency; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003445097,0.00006282332,0.0002249872,0.00003431311,0.0001037685,0.00004019709,0.0001601328,0.00002903316,0.00000454314],"category_scores_gemma":[0.00001983121,0.00003161556,0.00004793785,0.0001277422,0.000008146862,0.0005752227,0.00003673173,0.00009218616,0.000002202248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193959,"about_ca_system_score_gemma":0.0001607943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003344284,"about_ca_topic_score_gemma":0.000003461551,"domain_scores_codex":[0.9983493,0.0001510947,0.0006481999,0.00007653609,0.0006411998,0.0001336813],"domain_scores_gemma":[0.9981727,0.00003301277,0.0006064441,0.00009029408,0.0009925974,0.0001049371],"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":[0.00003373398,0.0003299946,0.1950166,0.001558612,0.0003397706,0.00000127854,0.01152178,0.01000563,0.002203287,0.005996281,0.007179656,0.7658134],"study_design_scores_gemma":[0.0003814976,0.0002641701,0.9970504,0.0001879273,0.00001066457,0.00007060333,0.0006679912,0.0009113558,0.0001009141,0.00009112639,0.0002178439,0.00004550055],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9855232,0.00468696,0.004001071,0.00405936,0.001194539,0.0004374258,8.81292e-7,0.00001131441,0.00008525575],"genre_scores_gemma":[0.9979545,0.0006974207,0.001111936,0.00001446466,0.0002092872,0.000002889202,2.959383e-7,9.802128e-7,0.000008226401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8020338,"threshold_uncertainty_score":0.1289245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04886071646045118,"score_gpt":0.323989984073057,"score_spread":0.2751292676126058,"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."}}