{"id":"W7005946411","doi":"","title":"Sustainable developments, renewable energy, and economic growth in Canada","year":2023,"lang":"en","type":"other","venue":"","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Renewable energy; Sustainability; Production (economics); Sustainable development; Government (linguistics)","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":[0.0006345798,0.0003749915,0.0002475114,0.002171924,0.005474625,0.003905024,0.000854587,0.0009881039,0.03910009],"category_scores_gemma":[0.001263699,0.00027057,0.0003908236,0.003938683,0.000855548,0.0006120151,0.001286591,0.0009874112,0.003376758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08780791,"about_ca_system_score_gemma":0.2118902,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9979172,"about_ca_topic_score_gemma":0.9992973,"domain_scores_codex":[0.999054,0.00002426289,0.0000223865,0.00004523827,0.0005716082,0.0002824139],"domain_scores_gemma":[0.9983029,0.00007393963,0.00003796776,0.00002287003,0.0009250356,0.000637233],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000174854,0.0001562896,0.02532346,0.0004036728,0.00003306161,0.0005225526,0.0009280544,0.002156243,0.00139194,0.06634342,0.6909919,0.2115745],"study_design_scores_gemma":[0.00002821078,0.00001924465,0.04185463,0.0001689599,0.00002075369,0.00006574283,0.001586574,0.00190081,0.0009706987,0.002300857,0.9510405,0.00004303526],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07448657,0.01534696,0.001807485,0.04710757,0.001486645,0.0002892042,0.03036373,0.001015005,0.8280968],"genre_scores_gemma":[0.154783,0.01461369,0.003869767,0.002346582,0.0001203993,0.0000688689,0.004755479,0.0002094254,0.8192328],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.08780791,"threshold_uncertainty_score":0.637094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002750794450502715,"score_gpt":0.1940199217269912,"score_spread":0.1912691272764885,"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."}}