{"id":"W7001508150","doi":"","title":"Keystone XL Pipeline -- No, No, No!","year":2013,"lang":"en","type":"other","venue":"Library (Trinity College)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Oil sands; Oil refinery; Pipeline transport; Pipeline (software); Crude oil; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0003031289,0.001936509,0.002284587,0.001728339,0.0002585222,0.0003587973,0.002539875,0.001966747,0.3209107],"category_scores_gemma":[0.0003039347,0.001924034,0.0007122328,0.002012646,0.0005007559,0.001674335,0.001448705,0.001943677,0.7505386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602921,"about_ca_system_score_gemma":0.0009387989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007682521,"about_ca_topic_score_gemma":0.00005680501,"domain_scores_codex":[0.9928994,0.0007187584,0.001375494,0.001907726,0.001381771,0.001716916],"domain_scores_gemma":[0.9938452,0.0003653344,0.001242672,0.003219394,0.0002524087,0.001074953],"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":[0.0003875393,0.000772415,0.0004674809,0.0005727864,0.0003410505,0.0003123929,0.00002464579,0.000001639959,0.0001701187,0.002300633,0.994513,0.0001362994],"study_design_scores_gemma":[0.003126901,0.00025544,0.0002152891,0.0007293759,0.0001585215,0.00003583141,0.0000176853,0.0004121303,0.0002772839,0.0001313668,0.9925086,0.002131546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001340664,0.001512365,0.00001825426,0.0003758806,0.004685253,0.003436493,0.01474476,0.005879727,0.9692132],"genre_scores_gemma":[0.0001620071,0.0005407567,0.006936572,0.001510054,0.009449096,0.0002922154,0.003345959,0.007109858,0.9706535],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4296279,"threshold_uncertainty_score":0.9993379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009843889179321962,"score_gpt":0.2151438196066942,"score_spread":0.2052999304273723,"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."}}