{"id":"W6932051250","doi":"10.5683/sp3/plaoix","title":"Documented orphaned oil and gas wells across the United States (2021 &amp; 2022 coordinates)","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Fossil fuel; Petroleum; Oil well; Investment (military); State (computer science); Natural gas","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007184264,0.001620456,0.0009915574,0.003230919,0.0008080205,0.002129053,0.00227438,0.001942016,0.03215273],"category_scores_gemma":[0.004590156,0.0005546573,0.0009879105,0.006448732,0.0003861871,0.001181752,0.001718889,0.00164463,0.04131877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583403,"about_ca_system_score_gemma":0.00261085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07222679,"about_ca_topic_score_gemma":0.1117555,"domain_scores_codex":[0.9990914,0.000101163,0.0001177066,0.0002872158,0.0002515428,0.0001510447],"domain_scores_gemma":[0.9977958,0.0004025554,0.0004175975,0.0003652664,0.0007910893,0.0002275914],"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":[0.00005004329,0.0000202522,0.003168364,0.0003720633,0.0000215023,0.00003373135,0.00002505282,0.0003423731,0.00006527404,0.0006085112,0.9935115,0.001781273],"study_design_scores_gemma":[0.0001489454,0.00001700314,0.01436913,0.0004433687,0.00002818157,0.00009366599,0.0001875745,0.0006817243,0.0003102119,0.0009120652,0.9827748,0.00003320977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001804439,0.00004628587,0.00003107445,0.00005721421,0.00001684962,0.000004166455,0.999022,0.00007977591,0.000562128],"genre_scores_gemma":[0.0005334869,0.00004747627,0.0001388408,0.00003412277,0.000006055949,0.00002736946,0.9987131,0.00001577066,0.0004837617],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07222679,"threshold_uncertainty_score":0.1436127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01587558771186478,"score_gpt":0.2989301605257613,"score_spread":0.2830545728138966,"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."}}