{"id":"W7028320348","doi":"","title":"Falling Gasoline Use Means United States Can Just Say No to New Pipelines and Food-to-Fuel","year":2013,"lang":"en","type":"dataset","venue":"Issue Lab (Candid)","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pipeline transport; Oil refinery; Pipeline (software); Falling (accident); Oil sands; Fossil fuel; Petroleum","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":[0.000827305,0.001491916,0.0007350628,0.002719049,0.0009746216,0.001637427,0.002128947,0.001628895,0.0118224],"category_scores_gemma":[0.004031949,0.0003566381,0.001004972,0.00660644,0.0005591361,0.001264297,0.001525602,0.001802258,0.01418108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002438148,"about_ca_system_score_gemma":0.00270278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07759634,"about_ca_topic_score_gemma":0.1727137,"domain_scores_codex":[0.999185,0.00008978254,0.0001006465,0.0002180814,0.0002825199,0.0001239586],"domain_scores_gemma":[0.9985536,0.0003470441,0.000198526,0.0003205171,0.0003745765,0.0002057345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001420206,0.00006229349,0.004244457,0.0004211869,0.00003960994,0.00005993342,0.00003948412,0.0004978371,0.0002722236,0.000890925,0.9869843,0.006345698],"study_design_scores_gemma":[0.0002147869,0.00003204468,0.01843984,0.0002086387,0.00004978299,0.0002166847,0.0002204938,0.002011777,0.001543695,0.001441652,0.9755816,0.00003904635],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001927795,0.0001611076,0.000183643,0.0004307887,0.00005015505,0.00001377173,0.9947993,0.0005078025,0.00192565],"genre_scores_gemma":[0.00215573,0.0001177365,0.0005016565,0.0001027267,0.000008412133,0.0000265419,0.996134,0.00002981595,0.0009232844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07759634,"threshold_uncertainty_score":0.1542894,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02905157268716992,"score_gpt":0.2834285578007087,"score_spread":0.2543769851135388,"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."}}