{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003940072,0.00009846859,0.0001182587,0.0001621652,0.002156978,0.0002258192,0.0005905132,0.00003089644,0.0009534434],"category_scores_gemma":[0.0005444762,0.0001157927,0.00007424681,0.0007886825,0.00009688512,0.00009403331,0.0006267732,0.0001619515,0.000009726571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002528537,"about_ca_system_score_gemma":0.0002490186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01085022,"about_ca_topic_score_gemma":0.00621415,"domain_scores_codex":[0.9958673,0.002850822,0.0001929486,0.0003176751,0.0004637436,0.0003075132],"domain_scores_gemma":[0.9984365,0.0003545488,0.0001022904,0.0005351349,0.0003808304,0.0001907116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009739685,0.0004830602,0.004697056,0.00001794389,0.00003573946,0.000007190995,0.1176482,0.0004962043,0.007519493,0.8189663,0.003226479,0.04689262],"study_design_scores_gemma":[0.000592658,0.00000149578,0.002093361,0.0004361901,0.00006160455,0.000003891162,0.04195382,0.0182138,0.005805953,0.008349599,0.921723,0.0007646296],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4358363,0.0001436194,0.02899998,0.04114354,0.0003243928,0.0004712899,0.00001902475,0.000215755,0.4928461],"genre_scores_gemma":[0.9786517,0.00003733359,0.008136217,0.0001936514,0.00002541067,0.00005525944,0.00002180093,0.00001254267,0.01286608],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9184965,"threshold_uncertainty_score":0.9999598,"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."}}