{"id":"W2549315876","doi":"","title":"Simple but accurate GCM-free approach for quantifying anthropogenic climate change","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"GCM transcription factors; Simple (philosophy); Climate change; Environmental science; Climatology; Meteorology; General Circulation Model; Geography; Geology","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":[0.0003687629,0.0008902678,0.0007820626,0.001423184,0.0007364405,0.001022813,0.001266699,0.001473963,0.002909748],"category_scores_gemma":[0.001286182,0.0004552113,0.0006873731,0.001186373,0.0002409967,0.0009772982,0.0008291992,0.0009876154,0.001330661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008905907,"about_ca_system_score_gemma":0.001605944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03426649,"about_ca_topic_score_gemma":0.06126659,"domain_scores_codex":[0.9997311,0.0000339671,0.00001272945,0.00005971647,0.0001393435,0.00002314283],"domain_scores_gemma":[0.9997562,0.0000396413,0.00001545056,0.00007900956,0.00009571925,0.00001396803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000249233,0.0004710279,0.02786529,0.0003809638,0.0006572597,0.0002397251,0.0001874068,0.5802627,0.05942612,0.01057738,0.0225166,0.2971663],"study_design_scores_gemma":[0.00009675338,0.00004036359,0.0154355,0.00002364626,0.000117405,0.00006394734,0.00005665117,0.9494122,0.01357833,0.007346773,0.01374582,0.0000826216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.206423,0.001415045,0.7103574,0.001033726,0.0008821568,0.0004026793,0.0251979,0.01872015,0.03556797],"genre_scores_gemma":[0.6611322,0.0003197326,0.3255087,0.0003265843,0.0001367993,0.0003025698,0.006588121,0.0006643386,0.005020987],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03426649,"threshold_uncertainty_score":0.06813401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05318141123845814,"score_gpt":0.2976911054442981,"score_spread":0.2445096942058399,"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."}}