{"id":"W6999359587","doi":"","title":"A Compilation, Analysis, and Categorization of 403 Atmospheric and Climate Science Misconceptions","year":2024,"lang":"en","type":"article","venue":"Lincoln (University of Nebraska)","topic":"Science Education and Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate science; Categorization; Scientific misconceptions; Quarter (Canadian coin); Atmospheric research; Climate change; Science education","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01818508,0.0008247496,0.0009755442,0.04498375,0.003660457,0.003161197,0.001726716,0.001007411,0.005347754],"category_scores_gemma":[0.09231332,0.0007587225,0.001223081,0.02255684,0.001686235,0.004206776,0.004824467,0.001786841,0.001675942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00513161,"about_ca_system_score_gemma":0.013864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01326833,"about_ca_topic_score_gemma":0.02177059,"domain_scores_codex":[0.9847251,0.00434739,0.003198712,0.0009271703,0.006300797,0.0005008525],"domain_scores_gemma":[0.8486443,0.09689552,0.01476872,0.00578682,0.03202814,0.00187646],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002675935,0.0002786074,0.1178915,0.01588663,0.0002469271,0.001522311,0.2242279,0.0004920962,0.0052769,0.004043191,0.05787505,0.5719913],"study_design_scores_gemma":[0.00007114532,0.0003913407,0.367295,0.03662304,0.000742579,0.002800602,0.1681366,0.001690122,0.006052918,0.005936687,0.4098149,0.0004450342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8230713,0.02322511,0.0271803,0.007590062,0.001055055,0.005259107,0.05723531,0.001536422,0.05384735],"genre_scores_gemma":[0.7362258,0.04443753,0.1107423,0.003928595,0.0006181039,0.01034298,0.0763317,0.0009899812,0.01638296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04498375,"threshold_uncertainty_score":0.09617305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01827949079396865,"score_gpt":0.3143379816163117,"score_spread":0.2960584908223431,"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."}}