{"id":"W4224243843","doi":"10.1016/j.fuel.2022.124224","title":"Regional carbon capture and storage opportunities in Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Fuel","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Carbon capture and storage (timeline); Carbon fibers; Environmental science; Computer science; Geology; Climate change; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0003414346,0.0003380115,0.0001981215,0.001013159,0.003269688,0.002279385,0.0006662329,0.0005271726,0.005122329],"category_scores_gemma":[0.0004054257,0.0002194098,0.0003209451,0.00230107,0.0006930996,0.0003960582,0.0006857432,0.0004060481,0.0003636929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04432597,"about_ca_system_score_gemma":0.06672503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9960294,"about_ca_topic_score_gemma":0.9992318,"domain_scores_codex":[0.9995998,0.00001635105,0.000006938324,0.00003334785,0.0001438715,0.0001998706],"domain_scores_gemma":[0.9995831,0.00002752854,0.00001978035,0.00000639532,0.0002385995,0.0001246202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001642258,0.0004417998,0.5234801,0.001229978,0.0002951808,0.005854934,0.004655903,0.03507672,0.01951929,0.04871783,0.08664051,0.2724455],"study_design_scores_gemma":[0.00008648588,0.0001278741,0.8050402,0.0002731596,0.0001260019,0.0007160102,0.01510674,0.0121894,0.003922584,0.001962228,0.1603441,0.0001051779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8718103,0.004341247,0.0009704124,0.003218764,0.00009024745,0.0001182298,0.00611251,0.000171491,0.1131668],"genre_scores_gemma":[0.9342577,0.002101513,0.001664718,0.0002260904,0.00001422195,0.00001685068,0.001523247,0.00001798987,0.06017765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04432597,"threshold_uncertainty_score":0.3216089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452552610245052,"score_gpt":0.1750054972707623,"score_spread":0.1604799711683118,"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."}}