{"id":"W6981524911","doi":"","title":"Energy NL welcomes “positive tone” towards energy sector from Canada’s 2023 budget","year":2023,"lang":"en","type":"other","venue":"World Oil","topic":"Cultural Heritage Materials Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Energy sector; Energy budget; Energy consumption; Energy policy; Efficient energy use","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":[0.004022805,0.001045255,0.000615544,0.002183541,0.007808656,0.01119252,0.001659355,0.01127584,0.08760461],"category_scores_gemma":[0.01122293,0.0007598284,0.001102722,0.002082582,0.001694662,0.002263971,0.003236131,0.008699253,0.021966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05271643,"about_ca_system_score_gemma":0.2033552,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9584889,"about_ca_topic_score_gemma":0.9795676,"domain_scores_codex":[0.9926991,0.0001878098,0.0001070198,0.0001896986,0.005026996,0.001789365],"domain_scores_gemma":[0.9858997,0.0007084883,0.0001384562,0.0002212084,0.008740008,0.004292095],"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":[0.00001960465,0.00001269088,0.0001597533,0.00002370763,0.000003320992,0.00004196833,0.00003522774,0.00007575632,0.000116078,0.006675091,0.9886446,0.004192163],"study_design_scores_gemma":[0.00001010363,0.000004161113,0.0005653549,0.00004717725,0.000003435835,0.000009928427,0.0001393127,0.0001131436,0.0001668416,0.0006193472,0.9983065,0.00001452222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003505865,0.002012447,0.001506021,0.2646896,0.02412405,0.0003671418,0.02019954,0.001498815,0.6820965],"genre_scores_gemma":[0.009015569,0.0009526174,0.00120849,0.04227534,0.0005013511,0.00009742549,0.003116226,0.0005873548,0.9422456],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08760461,"threshold_uncertainty_score":0.3824862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691743386107267,"score_gpt":0.2088011551987647,"score_spread":0.191883721337692,"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."}}