{"id":"W3097748888","doi":"10.37213/cjal.2020.30439","title":"Using the CLB in WorkLINC","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Applied Linguistics","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de Recherche Sur L’Intégration Professionnelle des Immigrants","funders":"","keywords":"Portfolio; Competence (human resources); Curriculum; Vocabulary; Language proficiency; Language assessment; Computer science; Psychology; Pedagogy; Knowledge management; Medical education; Business; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.009362372,0.0005301476,0.0003788693,0.001996593,0.009686857,0.007465069,0.003312015,0.001843131,0.03604509],"category_scores_gemma":[0.01325256,0.0004899101,0.0003800521,0.001569227,0.003783369,0.002987258,0.01348554,0.003243046,0.01369333],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01876676,"about_ca_system_score_gemma":0.05330461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.169638,"about_ca_topic_score_gemma":0.4380507,"domain_scores_codex":[0.9926185,0.001772003,0.0002009769,0.0006596747,0.002329583,0.002419322],"domain_scores_gemma":[0.9819496,0.001059847,0.0004531503,0.001304813,0.004613084,0.01061948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002081762,0.001849245,0.0199719,0.0003649702,0.000009546003,0.0006790636,0.05427792,0.0003037887,0.002070418,0.02581444,0.4022658,0.4921848],"study_design_scores_gemma":[0.00004381291,0.0002188816,0.02148335,0.0005638906,0.000006739047,0.0003251858,0.04367223,0.0003436985,0.001130305,0.007565718,0.9245443,0.0001018983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1817745,0.001436202,0.02497858,0.04315223,0.003005252,0.002868298,0.002566196,0.003366978,0.7368517],"genre_scores_gemma":[0.5736088,0.001379815,0.07401735,0.01751043,0.0003208144,0.004124771,0.003983914,0.001816907,0.3232372],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.169638,"threshold_uncertainty_score":0.3373011,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07382630535774386,"score_gpt":0.242536126617564,"score_spread":0.1687098212598201,"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."}}