{"id":"W7008259700","doi":"","title":"A $2.7 billion investment creates a first for Alberta's energy sector","year":2017,"lang":"en","type":"other","venue":"","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Investment (military); Energy (signal processing); Energy sector; Government (linguistics); Production (economics)","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":[0.001084406,0.0008728049,0.0002950384,0.001966646,0.005023847,0.007144389,0.0009849708,0.004169185,0.1461994],"category_scores_gemma":[0.002136371,0.0004283822,0.0006464029,0.001766531,0.001416756,0.001939023,0.002389325,0.003229111,0.03501305],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01937613,"about_ca_system_score_gemma":0.07040602,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7143946,"about_ca_topic_score_gemma":0.8912846,"domain_scores_codex":[0.9986632,0.00004679256,0.00001583817,0.00005660043,0.0008737983,0.0003438086],"domain_scores_gemma":[0.9980844,0.0001157039,0.00002911216,0.00007719926,0.0009280713,0.0007655179],"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":[0.00007277342,0.00005641069,0.001098733,0.00008832599,0.0000078067,0.00009418083,0.00007022225,0.0002423508,0.0005988051,0.02417385,0.9155802,0.05791635],"study_design_scores_gemma":[0.00001110982,0.0000115119,0.001662833,0.00008306729,0.000006270102,0.00003113331,0.0003299495,0.000177829,0.0004101093,0.002330243,0.9949349,0.00001115983],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004225494,0.00257317,0.0009427227,0.02667923,0.003341141,0.00008949295,0.004921725,0.001188147,0.9560388],"genre_scores_gemma":[0.01421304,0.002628352,0.001326793,0.00325475,0.0002251211,0.00002520327,0.003470427,0.0002819693,0.9745743],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2856054,"threshold_uncertainty_score":0.5745748,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01920722540213026,"score_gpt":0.2703312618730004,"score_spread":0.2511240364708702,"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."}}