{"id":"W7138825771","doi":"","title":"Using KiriPhys to Show Expanding Carbon Emissions","year":2022,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Conferences and Exhibitions Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; Simon Fraser University","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002868927,0.0003055522,0.0001717079,0.0005597752,0.001209403,0.0009751209,0.0003425595,0.0007237083,0.03033917],"category_scores_gemma":[0.0006970406,0.000145452,0.0003240584,0.0004499309,0.0004578745,0.0007607619,0.001343548,0.001143382,0.001760176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005942494,"about_ca_system_score_gemma":0.0004458308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005628247,"about_ca_topic_score_gemma":0.01735806,"domain_scores_codex":[0.9998925,0.00001680634,0.000002413253,0.00002033936,0.00003667599,0.00003123198],"domain_scores_gemma":[0.9996001,0.0001490562,0.00002394751,0.00004340199,0.00006939733,0.0001142041],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00552321,0.0007047407,0.01810942,0.001576048,0.000202517,0.00851679,0.005482492,0.04405955,0.3893333,0.09703433,0.2605813,0.1688763],"study_design_scores_gemma":[0.0005103462,0.00139984,0.1143446,0.000412518,0.0001895626,0.002453484,0.006490846,0.08627497,0.1416324,0.03362096,0.6123919,0.0002785028],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5717066,0.0004171222,0.02279167,0.005823254,0.00169058,0.0001879386,0.00483003,0.003387139,0.3891657],"genre_scores_gemma":[0.9128919,0.0004552738,0.02311528,0.0008089246,0.000192496,0.0001077005,0.001879437,0.000790827,0.05975825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03033917,"threshold_uncertainty_score":0.1014947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04196803701313221,"score_gpt":0.294731296879874,"score_spread":0.2527632598667418,"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."}}