{"id":"W4400692120","doi":"10.1021/acs.jchemed.3c01321","title":"Toward Collaborative Dialogue: Unpacking the Researcher–Educator Divide to Advance Chemistry Education","year":2024,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Leverage (statistics); Unpacking; Chemistry education; Representation (politics); Engineering ethics; Pedagogy; Sociology; Chemistry; Mathematics education; Political science; Psychology; Computer science; Engineering; Politics; Social psychology","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":[0.0006479212,0.0002354597,0.0002676655,0.00008701044,0.00009810174,0.0003697114,0.0008545179,0.0001875989,0.0007653575],"category_scores_gemma":[0.0036534,0.0001817662,0.0001644699,0.0008263747,0.000147226,0.0003468811,0.0001427526,0.001239244,0.00004525327],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131419,"about_ca_system_score_gemma":0.009475681,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002279688,"about_ca_topic_score_gemma":0.000001134311,"domain_scores_codex":[0.9976991,0.00005018161,0.0006169762,0.0003468106,0.0008721938,0.0004147203],"domain_scores_gemma":[0.997142,0.0004891105,0.0002318218,0.0004703786,0.001173741,0.0004930044],"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":[0.00007357606,0.0003599762,0.0001643426,0.0006860589,0.00008146837,0.000006369938,0.002558718,0.000008226764,0.8567817,0.0002085738,0.08957369,0.04949736],"study_design_scores_gemma":[0.000114513,0.00001632875,0.00002767804,0.0006847117,0.00004149197,0.0001560468,0.002669737,0.00002444408,0.7527363,0.002829684,0.2405111,0.0001879817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407243,0.008403079,0.0001347472,0.03213087,0.00108357,0.0002036609,0.00003156563,0.00006110514,0.01722706],"genre_scores_gemma":[0.9882291,0.0002754286,0.001208261,0.0003146722,0.00465071,0.00009715736,0.00005110099,0.00005073087,0.005122827],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1509374,"threshold_uncertainty_score":0.9961396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457824441937386,"score_gpt":0.3659314063681133,"score_spread":0.3413531619487394,"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."}}