{"id":"W7064532295","doi":"","title":"Canada Post Commits $1 Billion to Tackle Vehicle Fleet Emissions","year":2022,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Work (physics); Production (economics); Product (mathematics); Investment (military)","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":[0.0009329116,0.001254418,0.0006205915,0.002434243,0.006043078,0.004815256,0.001634968,0.006593615,0.2173074],"category_scores_gemma":[0.00380431,0.0007384856,0.001341881,0.001107027,0.001240514,0.001177547,0.002090731,0.004432119,0.07369168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01832562,"about_ca_system_score_gemma":0.08667346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9462027,"about_ca_topic_score_gemma":0.9695579,"domain_scores_codex":[0.9972582,0.00004742609,0.00002354884,0.00009551898,0.00184373,0.0007315726],"domain_scores_gemma":[0.9962341,0.0001318701,0.00004442971,0.00009461126,0.002560734,0.0009343248],"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":[0.00003232061,0.00003312066,0.0003149689,0.00001998665,0.00000682224,0.00004131473,0.00001550044,0.0001497308,0.0001983014,0.003154605,0.9834908,0.01254253],"study_design_scores_gemma":[0.00002921045,0.00002222224,0.001671574,0.00003514381,0.000007331948,0.00002280129,0.000120674,0.0004471948,0.0002803266,0.0008000934,0.9965476,0.00001574555],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00339712,0.0006253328,0.001245779,0.01724106,0.004848463,0.0003109111,0.01444905,0.001625473,0.9562568],"genre_scores_gemma":[0.005558751,0.0002733271,0.0004104128,0.003984049,0.0001629539,0.00004861534,0.00228108,0.0002267613,0.987054],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2173074,"threshold_uncertainty_score":0.7269658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007869036790883757,"score_gpt":0.2417701209403917,"score_spread":0.2339010841495079,"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."}}