{"id":"W7002245699","doi":"","title":"$25.6 Million in New Federal Home Energy Investments for Four Alberta Communities","year":2022,"lang":"en","type":"other","venue":"","topic":"Neonatal skin health care","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Energy (signal processing); Investment (military); Energy consumption; Energy policy","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":[0.0004778124,0.0008129342,0.0001855326,0.0009467978,0.002548253,0.002054716,0.0007616992,0.002133448,0.09882547],"category_scores_gemma":[0.0009722827,0.0003016309,0.0003697288,0.0005437119,0.0004793793,0.0006171059,0.001693864,0.001405074,0.01489913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009072335,"about_ca_system_score_gemma":0.02408548,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7254885,"about_ca_topic_score_gemma":0.8924545,"domain_scores_codex":[0.999545,0.00002441453,0.000005718226,0.00002287629,0.0002249375,0.0001769597],"domain_scores_gemma":[0.9995196,0.00002769795,0.00001103449,0.00001042778,0.0001458004,0.0002853923],"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":[0.0001595402,0.0001372718,0.00225524,0.00005978721,0.00001031684,0.0001362676,0.0000779358,0.0007406525,0.0008727993,0.004321506,0.9242909,0.06693786],"study_design_scores_gemma":[0.00007893689,0.00007477344,0.01839693,0.0001308975,0.00002176969,0.00008974037,0.0009685727,0.001480431,0.0006652584,0.001092835,0.9769779,0.00002195103],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04360431,0.003707998,0.001750487,0.0376887,0.004090316,0.0003263684,0.02171631,0.002009715,0.8851058],"genre_scores_gemma":[0.05827183,0.001810549,0.001048577,0.003625108,0.0002565635,0.00007310106,0.00868186,0.0001562951,0.9260762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2745115,"threshold_uncertainty_score":0.5522562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09222097188035776,"score_gpt":0.3923043983384857,"score_spread":0.300083426458128,"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."}}