{"id":"W4247736346","doi":"10.1075/bct.115.06he","title":"Co-developing science literacy and foreign language literacy through “Concept + Language Mapping”","year":2021,"lang":"en","type":"book-chapter","venue":"Benjamins current topics","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Literacy; Mathematics education; Scientific literacy; Computer science; Thematic analysis; Intervention (counseling); Foreign language; Pedagogy; Sociology; Psychology; Qualitative research; Science education; Social science","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":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002407493,0.0005156797,0.0005316528,0.0002904093,0.0007606352,0.001336848,0.0004131442,0.000146683,0.003827441],"category_scores_gemma":[0.0001018892,0.0004825302,0.0001725531,0.00004572692,0.0005692391,0.0007179205,0.0002094391,0.001009972,0.00006804618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301566,"about_ca_system_score_gemma":0.0002087154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001421289,"about_ca_topic_score_gemma":0.00005816535,"domain_scores_codex":[0.9977518,0.00004177676,0.0004997781,0.000778893,0.0004162106,0.0005115428],"domain_scores_gemma":[0.9987256,0.000121719,0.0003081002,0.0005566202,0.0001692031,0.0001187758],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001427119,0.00001304331,0.00001664002,0.0001849936,0.00002975758,0.00007045564,0.2128973,2.042321e-7,0.000008387308,0.502036,0.0006343108,0.2841075],"study_design_scores_gemma":[0.0003074082,0.00003366916,0.00003642618,0.00130921,0.00004779849,0.00003261706,0.01138288,0.00003409383,0.00007186479,0.001601115,0.9844674,0.0006755395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02058893,0.05364272,0.0003277803,0.0002374316,0.001854218,0.0003605968,0.0002613877,0.0002846282,0.9224423],"genre_scores_gemma":[0.04267289,0.0007960887,0.00179182,0.001171787,0.007000746,0.00001984223,0.001575522,0.0001515273,0.9448198],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9838331,"threshold_uncertainty_score":0.9997627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04331053574914093,"score_gpt":0.3109232089654722,"score_spread":0.2676126732163313,"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."}}