{"id":"W2580624787","doi":"10.1021/acs.jchemed.6b00759","title":"Assessing Student Knowledge of Chemistry and Climate Science Concepts Associated with Climate Change: Resources To Inform Teaching and Learning","year":2017,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"The King's University","funders":"Division of Undergraduate Education","keywords":"Context (archaeology); Radiative forcing; Climate change; Science education; Mathematics education; Chemistry education; Chemistry; Earth science; Ecology; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077798,0.00009168977,0.0001584014,0.00001480422,0.0003193227,0.0001694166,0.0002273693,0.0000481297,0.00001657821],"category_scores_gemma":[0.0008575269,0.00007641144,0.00001895505,0.00007477769,0.0003086611,0.000670294,0.0002576917,0.0003614115,4.048204e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001419159,"about_ca_system_score_gemma":0.00003059647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006380694,"about_ca_topic_score_gemma":3.149684e-7,"domain_scores_codex":[0.9992121,0.000009024543,0.0002288251,0.0001324048,0.0002352791,0.0001823394],"domain_scores_gemma":[0.9991928,0.00007133655,0.0004020143,0.0001038261,0.00004787324,0.0001821083],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001500258,0.00008605016,0.03072207,0.00006346268,0.000005868777,4.504989e-7,0.003525495,0.00002730278,0.9418062,0.000003668301,0.000006975976,0.02373748],"study_design_scores_gemma":[0.0006609048,0.00007866152,0.2311784,0.001400423,0.00006242833,0.00008000114,0.003594707,0.0006809863,0.7611409,0.00001800192,0.0008094815,0.0002950792],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948114,0.00006156257,0.000004342954,0.0001871623,0.00003272218,0.00003836233,4.857529e-7,0.000005527369,0.004858491],"genre_scores_gemma":[0.9990554,0.00002228436,0.0007917669,0.0000236633,0.0000801982,0.00000242246,7.458958e-7,0.000006141292,0.00001733169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2004564,"threshold_uncertainty_score":0.3115968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233039623239258,"score_gpt":0.3322658509575221,"score_spread":0.3199354547251295,"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."}}