{"id":"W7053215138","doi":"","title":"Total sales of lightweight automobiles in Mexico, 1988-2016","year":2019,"lang":"en","type":"other","venue":"Institutional Repository (Universidad Autónoma del Estado de México)","topic":"Electromagnetic Compatibility and Measurements","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inflation (cosmology); Unemployment; Automotive industry; Remuneration; Exchange rate; Work (physics); Unemployment rate; Regression analysis; Variables","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":[0.0001767492,0.0002637976,0.000206512,0.001167615,0.0003276168,0.000524194,0.0002988404,0.0001458403,0.002447297],"category_scores_gemma":[0.0007025375,0.0001488246,0.000305165,0.00162845,0.0001045157,0.0002707604,0.0002931925,0.0002378538,0.0004183066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001018567,"about_ca_system_score_gemma":0.000608422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1448433,"about_ca_topic_score_gemma":0.1363222,"domain_scores_codex":[0.9999183,0.000005879446,0.000008875709,0.00002381051,0.00002452902,0.00001852908],"domain_scores_gemma":[0.9997171,0.00004103471,0.0001446477,0.000007610157,0.00007407193,0.00001543617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001701402,0.00005914657,0.9632958,0.000366505,0.0001916701,0.0003595451,0.0007953375,0.0009617957,0.0004753637,0.0004914243,0.008402963,0.02443039],"study_design_scores_gemma":[0.000004458542,0.0000332958,0.9892582,0.00005196351,0.00009835442,0.0001286342,0.0008782321,0.0004259273,0.0001996994,0.00002898086,0.008887268,0.000005003006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972242,0.0008776134,0.0001261819,0.0001363401,0.00001900732,0.00001470099,0.02187485,0.00003781646,0.004671438],"genre_scores_gemma":[0.9562545,0.002929258,0.0005196544,0.00002799223,0.00004145075,0.00004555093,0.03130196,0.00001468512,0.008864934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1448433,"threshold_uncertainty_score":0.2880005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008490573511652074,"score_gpt":0.198909878644693,"score_spread":0.1904193051330409,"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."}}