{"id":"W6950111475","doi":"10.5281/zenodo.6656912","title":"IPCC AR6 WGI - Figure 3.41","year":2022,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Table (database); Code (set theory); Climate change; Economic analysis","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":[0.002177904,0.002335386,0.0009278785,0.003716597,0.0009507431,0.002542515,0.002645884,0.001847871,0.2844764],"category_scores_gemma":[0.003803843,0.0007564231,0.0009684219,0.007100519,0.0007004404,0.002395265,0.00168875,0.002922426,0.3282695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002476927,"about_ca_system_score_gemma":0.004582902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03156712,"about_ca_topic_score_gemma":0.01999687,"domain_scores_codex":[0.9981418,0.0002503758,0.00008634356,0.000192468,0.001130798,0.0001982869],"domain_scores_gemma":[0.9972964,0.0002312794,0.0001374088,0.0006078999,0.001576802,0.000150197],"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":[0.00009428192,0.00003594206,0.0001765717,0.0005997646,0.00001078581,0.00003373326,0.00005710973,0.001164246,0.001057114,0.01066062,0.9614021,0.02470776],"study_design_scores_gemma":[0.00003024322,0.00001324948,0.0005990777,0.000112862,0.000006823215,0.00001752481,0.00002397652,0.0002346474,0.0008782975,0.00264108,0.9954273,0.00001484174],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006753082,0.0004172218,0.02023924,0.0007050795,0.001122511,0.0008030018,0.3465108,0.01717698,0.6123499],"genre_scores_gemma":[0.008978194,0.001469208,0.04021085,0.001279991,0.0003577186,0.002741539,0.571506,0.02954747,0.343909],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2844764,"threshold_uncertainty_score":0.9516684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03079606521503127,"score_gpt":0.2451600303671567,"score_spread":0.2143639651521254,"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."}}