{"id":"W3158278053","doi":"10.1002/sce.21622","title":"Scientific modeling and translanguaging: A multilingual and multimodal approach to support science learning and engagement","year":2021,"lang":"en","type":"article","venue":"Science Education","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"National Academy of Education; National Science Foundation","keywords":"Translanguaging; Context (archaeology); Transformative learning; Meaning (existential); Pedagogy; Mathematics education; Literacy; Sociology; Psychology; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00806047,0.0005774997,0.0002459508,0.001184788,0.005632927,0.004908766,0.002172688,0.001411512,0.01141929],"category_scores_gemma":[0.01120728,0.0002606085,0.0005321494,0.0006453441,0.004204559,0.006136687,0.01666898,0.002190715,0.001413972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002655051,"about_ca_system_score_gemma":0.005810115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002344381,"about_ca_topic_score_gemma":0.006521523,"domain_scores_codex":[0.9932123,0.005261295,0.0001508543,0.0004002265,0.0004513615,0.0005238852],"domain_scores_gemma":[0.9911617,0.004538641,0.0006121047,0.00129112,0.0006485573,0.001747961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002828902,0.00195353,0.01680501,0.0006287891,0.00004335357,0.002339899,0.4887967,0.003072643,0.01296816,0.1521129,0.012647,0.3083492],"study_design_scores_gemma":[0.0001319233,0.0007085869,0.009542793,0.001122248,0.00008575754,0.0008859136,0.3183815,0.01512537,0.01051649,0.1189635,0.5243974,0.0001384849],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5367368,0.0005968734,0.1907308,0.01870332,0.000271063,0.0005735983,0.0001347134,0.001705384,0.2505475],"genre_scores_gemma":[0.9450703,0.0002291031,0.0423982,0.0005663951,0.00003787477,0.0005008708,0.00007130138,0.0001236444,0.01100242],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01141929,"threshold_uncertainty_score":0.04262835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07995701760490695,"score_gpt":0.462958088960272,"score_spread":0.3830010713553651,"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."}}