{"id":"W7164896868","doi":"10.6093/al.vi1.12369","title":"Combining SLA Theory and Teaching Practice: “Big Bowl of Serial”, or, How to Use TV Series to Become Autonomous Learners of English","year":2025,"lang":"en","type":"article","venue":"Università degli Studi di Napoli Federico II","topic":"EFL/ESL Teaching and Learning","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"American Water (Canada)","funders":"","keywords":"Section (typography); Course (navigation); English language; Quality (philosophy); Language acquisition; Series (stratigraphy)","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":[0.004663595,0.0004248144,0.0002724763,0.00163613,0.00274843,0.007775326,0.001278656,0.001630975,0.006574329],"category_scores_gemma":[0.007240904,0.0002088486,0.0003077325,0.00120031,0.01758075,0.007759251,0.007859142,0.002547757,0.000966828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004240957,"about_ca_system_score_gemma":0.005229539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003829213,"about_ca_topic_score_gemma":0.005965942,"domain_scores_codex":[0.9952179,0.003135296,0.0001126782,0.0005144511,0.0006839036,0.0003356471],"domain_scores_gemma":[0.9959803,0.002553885,0.0003013183,0.0003218923,0.0003408887,0.0005017846],"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":[0.00003691743,0.0003671121,0.008798039,0.0005988734,0.00001486756,0.000513083,0.3130103,0.0006193606,0.001280176,0.4972168,0.006662549,0.170882],"study_design_scores_gemma":[0.0000356013,0.0003286566,0.01028972,0.001723925,0.00003012957,0.0006799611,0.446448,0.004034515,0.001960574,0.2772948,0.2571309,0.00004334642],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3225228,0.002836049,0.09493329,0.02778229,0.0004559059,0.0002114702,0.00005421263,0.000225185,0.5509788],"genre_scores_gemma":[0.968547,0.0008951723,0.01438394,0.001148501,0.00005911085,0.0001010649,0.00003066206,0.00006622564,0.01476839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007775326,"threshold_uncertainty_score":0.03077048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448645434204507,"score_gpt":0.256900526620538,"score_spread":0.2324140722784929,"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."}}