{"id":"W4389458390","doi":"10.4095/332328","title":"Canada in a changing climate: synthesis report infographic","year":2023,"lang":"en","type":"report","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Infographic; Geography; Meteorology; Climatology; Environmental science; Computer science; Data mining; Geology","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":[0.004173083,0.002945019,0.003722565,0.01509018,0.002821409,0.004761738,0.002617285,0.002518316,0.0501149],"category_scores_gemma":[0.01232748,0.001368621,0.005669932,0.04512081,0.0007698951,0.001590803,0.002909224,0.00281496,0.006074242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09329396,"about_ca_system_score_gemma":0.3282112,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9957688,"about_ca_topic_score_gemma":0.9968093,"domain_scores_codex":[0.9944296,0.0004438396,0.0004046258,0.0003774387,0.003268996,0.001075475],"domain_scores_gemma":[0.9880966,0.000796067,0.0006138206,0.0003158376,0.009133959,0.001043752],"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":[0.0002382769,0.00003979455,0.002840718,0.01589767,0.0008191444,0.0000470603,0.0001091238,0.001131531,0.00005649229,0.002389276,0.9423492,0.03408169],"study_design_scores_gemma":[0.0005225613,0.00004923534,0.05590794,0.01659647,0.002663623,0.00005775,0.0006962048,0.0006006633,0.0003723636,0.001282893,0.9211332,0.000117163],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001855186,0.09283461,0.000580238,0.008711963,0.004691297,0.0009651484,0.8618411,0.0003440906,0.02817628],"genre_scores_gemma":[0.04996174,0.3603594,0.00790223,0.01176772,0.003009071,0.005943455,0.4370703,0.0006820053,0.1233041],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.09329396,"threshold_uncertainty_score":0.6768982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06104627976097809,"score_gpt":0.3387909875292431,"score_spread":0.277744707768265,"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."}}