{"id":"W2616245153","doi":"10.1515/applirev-2017-0028","title":"Actively managed products: Think-aloud data and methods in applied linguistics research","year":2017,"lang":"en","type":"article","venue":"Applied Linguistics Review","topic":"Language, Discourse, Communication Strategies","field":"Arts and Humanities","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychology; Vocabulary; Applied linguistics; Linguistics; Active listening; Reading (process); Cognitive linguistics; Encyclopedia; Cognition; Cognitive science; Communication","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":[0.1390884,0.001236352,0.001049214,0.007630603,0.003361244,0.009929872,0.003043551,0.001954426,0.006402149],"category_scores_gemma":[0.2254627,0.00116056,0.000746942,0.007857116,0.006980586,0.006709485,0.006819936,0.003902176,0.002770635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003391691,"about_ca_system_score_gemma":0.00719228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001626259,"about_ca_topic_score_gemma":0.002070167,"domain_scores_codex":[0.7879915,0.1829736,0.0079039,0.00635863,0.01388989,0.0008825181],"domain_scores_gemma":[0.6083224,0.3205225,0.009782749,0.0277307,0.03102518,0.002616343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004980685,0.001171222,0.01030293,0.003213788,0.0001423575,0.000501675,0.3207594,0.001759372,0.008650982,0.08029012,0.02226058,0.5504495],"study_design_scores_gemma":[0.000558489,0.001607269,0.02219965,0.01169629,0.0001552681,0.001107561,0.1784304,0.02211182,0.02143964,0.2892981,0.4508047,0.0005907225],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08600537,0.005263631,0.8486986,0.006635119,0.00127123,0.00983515,0.002479351,0.002141156,0.03767044],"genre_scores_gemma":[0.1771667,0.001452648,0.7946789,0.001004451,0.0002830064,0.01907114,0.0009039449,0.001163487,0.004275749],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1390884,"threshold_uncertainty_score":0.7355785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3360251159178281,"score_gpt":0.5008914381750398,"score_spread":0.1648663222572117,"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."}}