{"id":"W3006770506","doi":"","title":"A 5th Grade Calculation Explains Global Warming","year":2020,"lang":"en","type":"preprint","venue":"viXra","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Albedo (alchemy); Global warming; Population; Simple (philosophy); Environmental science; Quarter (Canadian coin); Meteorology; Energy budget; Climatology; Atmospheric sciences; Geography; Climate change; Geology; Physics; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001137275,0.0001774862,0.0001818482,0.00001137998,0.000174949,0.00005722416,0.000343888,0.00009509984,0.0005750507],"category_scores_gemma":[0.00004185508,0.0001578623,0.00009543302,0.000225239,0.0001519391,0.0001025893,0.001470788,0.0001734545,0.001504552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002762028,"about_ca_system_score_gemma":0.00001555417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000618564,"about_ca_topic_score_gemma":0.0001909084,"domain_scores_codex":[0.9985826,0.00002696517,0.0001745559,0.0005244011,0.0004196947,0.0002718106],"domain_scores_gemma":[0.9995507,0.00001320348,0.00009054646,0.0002408054,0.000004165128,0.0001005855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004523672,0.0002932496,0.8202781,0.0002078248,0.0001359492,0.0002000586,0.01368216,0.03020335,0.00894543,0.001783415,0.07960253,0.04462272],"study_design_scores_gemma":[0.000480135,0.0001056329,0.9087618,0.0001427177,0.0001191119,0.00001551519,0.001743158,0.0238692,0.001015841,0.0230024,0.03949112,0.001253358],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.901589,0.0001022806,0.001716806,0.004162903,0.0009587558,0.0003975097,0.00006631041,0.0002080999,0.09079834],"genre_scores_gemma":[0.9980373,0.00007894128,0.001075575,0.0005262889,0.0001196808,0.00002753787,0.00001875815,0.000007724369,0.0001081816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09644832,"threshold_uncertainty_score":0.9992729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06014055856329156,"score_gpt":0.3209192161709167,"score_spread":0.2607786576076251,"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."}}