{"id":"W6980388943","doi":"","title":"Canada has big plans to use hydrogen to cut emissions","year":2020,"lang":"en","type":"other","venue":"Hydrocarbon processing","topic":"Eurasian Exchange Networks","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Refining (metallurgy); Hydrogen; Greenhouse gas; Refinery; Gas industry","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":[0.001381134,0.0008888342,0.0002866622,0.001316891,0.00331657,0.00346163,0.001295359,0.003135655,0.09786307],"category_scores_gemma":[0.003528158,0.0003005671,0.0007498197,0.001743702,0.0009191915,0.001690429,0.002065165,0.002726011,0.01428958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02597392,"about_ca_system_score_gemma":0.1141227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9447446,"about_ca_topic_score_gemma":0.9578297,"domain_scores_codex":[0.9986634,0.00005965953,0.00001787686,0.00004631521,0.0007471789,0.0004656425],"domain_scores_gemma":[0.9967475,0.0001561594,0.00006615282,0.00007083957,0.001951183,0.001008113],"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":[0.00005297803,0.00007184997,0.001068615,0.0001175634,0.0000137015,0.00005252196,0.00005707069,0.0005401363,0.0002440273,0.03680759,0.920684,0.04029001],"study_design_scores_gemma":[0.0000221917,0.00001447968,0.002331824,0.00007127106,0.000007704493,0.00001347204,0.000173602,0.0006586679,0.0003293338,0.002982008,0.9933841,0.00001135201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.005943849,0.001540044,0.002233384,0.04912965,0.002572535,0.0002177811,0.02398103,0.0009383892,0.9134434],"genre_scores_gemma":[0.03042896,0.002311024,0.003750184,0.009852835,0.0001903161,0.0001166766,0.009781913,0.000328876,0.9432392],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09786307,"threshold_uncertainty_score":0.3273846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05124970908359012,"score_gpt":0.2812405533588361,"score_spread":0.229990844275246,"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."}}