{"id":"W2172312306","doi":"10.13031/2013.37241","title":"ROPS Deficiency of Gray Market Tractors","year":2011,"lang":"en","type":"article","venue":"2011 Louisville, Kentucky, August 7 - August 10, 2011","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tractor; Gray (unit); Business; Grey market; Rollover (web design); Engineering; Economics; Market economy; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001322936,0.0002339118,0.0002320016,0.001257977,0.0008893646,0.001468968,0.000722628,0.0006914742,0.01366812],"category_scores_gemma":[0.004415868,0.0001868937,0.0002550597,0.0008764868,0.001105677,0.001488692,0.001310128,0.0004016765,0.001851751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00258439,"about_ca_system_score_gemma":0.002337164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02326913,"about_ca_topic_score_gemma":0.04322027,"domain_scores_codex":[0.9987909,0.0001569904,0.00009978291,0.0001826313,0.0005274762,0.0002422479],"domain_scores_gemma":[0.995132,0.0005256791,0.002125832,0.0003705715,0.001525375,0.0003206399],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007659829,0.0003429751,0.7328594,0.0006498882,0.00004920236,0.008507042,0.01417717,0.0007203303,0.04590067,0.01742144,0.01408421,0.1645216],"study_design_scores_gemma":[0.00001748049,0.0010048,0.8056356,0.0005929196,0.00009071575,0.008001298,0.03398154,0.002035918,0.02285792,0.002771478,0.1229397,0.00007062632],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9668936,0.0003810216,0.00135372,0.0007675929,0.00002765439,0.00005362186,0.0002892033,0.00008831498,0.03014525],"genre_scores_gemma":[0.9845988,0.0002854372,0.001150058,0.0001927633,0.000005251029,0.000008728072,0.0002476555,0.00002161903,0.0134897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02326913,"threshold_uncertainty_score":0.04626733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296989590988489,"score_gpt":0.2004112284537145,"score_spread":0.1774413325438297,"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."}}