{"id":"W6903164963","doi":"10.1021/acssuschemeng.2c02691.s001","title":"Using Blue\\nHydrogen to Decarbonize Heavy Oil and Oil\\nSands Operations in Canada","year":2022,"lang":"en","type":"article","venue":"Figshare","topic":"Oil, Gas, and Environmental Issues","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ton; Fuel oil; Natural gas; Methane; Fossil fuel; Heating oil; Petroleum; Carbon fibers","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":[0.0002971097,0.0002363237,0.00009437528,0.0007437046,0.002779177,0.001618535,0.0006370604,0.0005159894,0.006453517],"category_scores_gemma":[0.0004914245,0.0001532087,0.00026597,0.001127312,0.001035165,0.0005493634,0.0006514877,0.0005987886,0.0004258765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02680342,"about_ca_system_score_gemma":0.05619894,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9871631,"about_ca_topic_score_gemma":0.9964714,"domain_scores_codex":[0.9994296,0.00002111721,0.000006995548,0.0000349293,0.0002601742,0.0002469972],"domain_scores_gemma":[0.9996668,0.00001936544,0.00001783834,0.00001069564,0.0001869204,0.0000982364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006431523,0.0004870469,0.1333533,0.001203875,0.0001530662,0.003060611,0.003548516,0.01669351,0.02631739,0.08345441,0.2620623,0.4690229],"study_design_scores_gemma":[0.00009140167,0.0002376837,0.1911619,0.000233806,0.0001019961,0.0003207269,0.01004213,0.005588184,0.01956954,0.00445505,0.7680926,0.0001049047],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.523966,0.004607208,0.002942514,0.02036647,0.0003302446,0.000213324,0.003350435,0.0004580497,0.4437658],"genre_scores_gemma":[0.8508589,0.004470517,0.003876652,0.002046128,0.00002296494,0.00002352178,0.001470877,0.00007606709,0.1371545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02680342,"threshold_uncertainty_score":0.1944734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03626777564598671,"score_gpt":0.235102360944335,"score_spread":0.1988345852983483,"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."}}