{"id":"W3194116877","doi":"","title":"Ford recalls 2 million F-150 pickups over seat belt fire concerns","year":2018,"lang":"en","type":"article","venue":"FOXBusiness","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Seat belt; Advertising; Business; Forensic engineering; Geology; Aeronautics; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005321728,0.0001256678,0.0001211768,0.00005738447,0.00008539052,0.00002605099,0.0001007817,0.0000944803,0.0007691049],"category_scores_gemma":[0.00001444023,0.0001277154,0.00003847749,0.0004816134,0.00007073294,0.0001861513,0.000007325573,0.00008750398,0.00008503925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004260321,"about_ca_system_score_gemma":0.0000222823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007274053,"about_ca_topic_score_gemma":0.0003614162,"domain_scores_codex":[0.9993156,0.000005630202,0.000211661,0.0001472361,0.0001278462,0.0001920923],"domain_scores_gemma":[0.9994898,0.00001844946,0.00002231155,0.0002294303,0.0001928591,0.00004708715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003200998,0.0006872172,0.1303798,0.00176947,0.0007853352,0.00007947641,0.01338042,0.02177235,0.0925205,0.0496932,0.4652354,0.2233768],"study_design_scores_gemma":[0.001195835,0.00006472642,0.4913805,0.0001116338,0.000053403,0.000006075234,0.0001067286,0.01451935,0.008921553,0.0005759048,0.4824672,0.000597118],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812214,0.000067327,0.0123171,0.0003611452,0.001166861,0.0001951741,0.00008864419,0.0004429705,0.004139393],"genre_scores_gemma":[0.9981413,0.00002433733,0.0003829246,0.0002588125,0.0003389882,0.00002474095,0.0001842893,0.00002960105,0.0006149409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3610007,"threshold_uncertainty_score":0.8421159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01939522293433179,"score_gpt":0.2559764381821905,"score_spread":0.2365812152478587,"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."}}