{"id":"W6997068948","doi":"","title":"Tracking Progress: Evaluating Government Plans and Actions to Reduce Greenhouse Gas Emissions in Canada","year":2022,"lang":"en","type":"report","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Greenhouse gas; Climate change; Tracking (education); Climate policy; Public 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":[0.009121939,0.0006058467,0.0005100537,0.004930559,0.006094563,0.00601502,0.001941507,0.0007388791,0.001792452],"category_scores_gemma":[0.02257739,0.0003185749,0.0004970055,0.01109256,0.00151188,0.001599293,0.002220065,0.001178485,0.0003067699],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1639159,"about_ca_system_score_gemma":0.3571635,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9988275,"about_ca_topic_score_gemma":0.9991348,"domain_scores_codex":[0.9877495,0.001103978,0.0004602839,0.0003812119,0.008349474,0.001955537],"domain_scores_gemma":[0.9745507,0.002027628,0.0009507453,0.0003528547,0.02014493,0.001973058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007719406,0.0007425823,0.3830774,0.001443498,0.0003844962,0.0003087605,0.017232,0.04387796,0.001148157,0.02543312,0.1460364,0.3795437],"study_design_scores_gemma":[0.00022696,0.0007191856,0.7576401,0.0009675426,0.0006425038,0.00006442663,0.05526719,0.04329785,0.003530867,0.002767613,0.1345399,0.0003359672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.774608,0.004336953,0.002699921,0.01889452,0.000244473,0.002235214,0.03081028,0.0005718323,0.1655988],"genre_scores_gemma":[0.9482218,0.005133569,0.009667804,0.001051223,0.0000416213,0.0005332356,0.01357771,0.0001169098,0.0216563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1639159,"threshold_uncertainty_score":0.969739,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909467131218004,"score_gpt":0.2367250143070447,"score_spread":0.1876303429948646,"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."}}