{"id":"W4237929994","doi":"10.4095/301204","title":"Change in Market Share of Small Utility Vehicles 1990-2010 (Human Activities Leading to Emissions)","year":2010,"lang":"en","type":"report","venue":"","topic":"Vehicle emissions and performance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Market share; Natural resource economics; Environmental economics; Environmental science; Economics; Marketing","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":[0.0003469523,0.0005558808,0.0002415027,0.0007430179,0.0001884944,0.0008598059,0.000517061,0.000405383,0.006398202],"category_scores_gemma":[0.0008024158,0.000248008,0.0008796905,0.001025476,0.0001398042,0.0007656001,0.0004140972,0.0005076627,0.001675121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002585824,"about_ca_system_score_gemma":0.001220512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.22462,"about_ca_topic_score_gemma":0.2185292,"domain_scores_codex":[0.9997334,0.00002316667,0.00001113212,0.00004318258,0.0001093574,0.00007981316],"domain_scores_gemma":[0.9995006,0.00007154057,0.0001399101,0.00000836976,0.0002296595,0.00004995946],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00150492,0.000534089,0.5968889,0.001089939,0.0006285548,0.001334237,0.000439584,0.2177432,0.009530413,0.00788542,0.09927627,0.06314445],"study_design_scores_gemma":[0.0001132667,0.0005248004,0.8334651,0.0001533974,0.0002023498,0.0008561484,0.001505139,0.07405514,0.005868578,0.001842919,0.08131033,0.0001028758],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8339726,0.001066134,0.002828727,0.001346808,0.0001497793,0.00009721649,0.1224749,0.0003553746,0.03770844],"genre_scores_gemma":[0.9152762,0.001590032,0.00104608,0.0001941459,0.00004337193,0.00008402698,0.06511837,0.00002673831,0.01662111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.22462,"threshold_uncertainty_score":0.4466251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07201903626203807,"score_gpt":0.3002777501499488,"score_spread":0.2282587138879108,"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."}}