{"id":"W4306640188","doi":"10.1515/cti-2022-0009","title":"A billion times smaller than us: helping students comprehend the molecular scale","year":2022,"lang":"en","type":"article","venue":"Chemistry Teacher International","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"University of Victoria","keywords":"Avogadro constant; Scale (ratio); Mobile device; Globe; Visualization; Nanotechnology; Physics; Materials science; Computer science; Data mining; Quantum mechanics; Psychology; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003413636,0.0002687003,0.0001814105,0.00002790346,0.0003980756,0.0002054027,0.002375526,0.0001080136,0.03079602],"category_scores_gemma":[0.00009751839,0.0002458028,0.0002005038,0.0001391113,0.0001516186,0.0000789199,0.001563931,0.001093948,0.00004139197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005864938,"about_ca_system_score_gemma":0.0001153431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006927269,"about_ca_topic_score_gemma":0.000002384953,"domain_scores_codex":[0.9970059,0.00004515244,0.000343057,0.0005463788,0.001638858,0.0004206177],"domain_scores_gemma":[0.9988518,0.00006307603,0.0001602053,0.0006691986,0.0001172669,0.0001384742],"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":[0.00007651277,0.0005943772,0.06127279,0.00008397564,0.0004228314,0.00008899719,0.0005798132,0.0005639516,0.9291455,0.00004170447,0.006477477,0.0006520864],"study_design_scores_gemma":[0.001469227,0.00001271438,0.00120572,0.00005503518,0.00004380673,0.0002573075,0.001830693,0.003313657,0.7811967,0.0005177403,0.2095326,0.000564904],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8791729,0.0002147961,0.00004323099,0.001651258,0.0001303027,0.00007913307,0.00008612093,0.0001266567,0.1184956],"genre_scores_gemma":[0.9389716,0.000011703,0.00009274919,0.0001685537,0.0004125565,0.0002146098,0.000370169,0.00004975436,0.05970826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2030551,"threshold_uncertainty_score":0.9999994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839868448500997,"score_gpt":0.2897522069784783,"score_spread":0.2713535224934683,"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."}}