{"id":"W2793474205","doi":"10.18806/tesl.v34i3.1277","title":"Improving English Learners’ Productive Collocation Knowledge: The Effects of Involvement Load, Spacing, and Intentionality","year":2018,"lang":"en","type":"article","venue":"TESL Canada Journal","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Intentionality; Collocation (remote sensing); Verb; Operationalization; Cognitive load; Linguistics; Cognition; Cognitive psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007579442,0.00008149652,0.0001059248,0.00004403185,0.0002495719,0.00003285037,0.00009988645,0.00003277772,0.01842672],"category_scores_gemma":[0.0009423682,0.00006029329,0.00002695585,0.0001243749,0.0001289729,0.00006625605,0.00003056843,0.0002795021,0.00000332309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002360661,"about_ca_system_score_gemma":0.0005361033,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04077618,"about_ca_topic_score_gemma":0.02517668,"domain_scores_codex":[0.9990438,0.0002402559,0.0001968331,0.0001472714,0.0002061615,0.0001656546],"domain_scores_gemma":[0.9987657,0.0001682526,0.0002197323,0.0001476464,0.0006228679,0.00007579243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005620045,0.0005530273,0.006408502,0.0005912635,0.001316914,0.0001467838,0.3740657,0.00001210735,0.02847295,0.009182833,0.3826277,0.1960603],"study_design_scores_gemma":[0.008996723,0.002807077,0.3796805,0.0007489767,0.0005289152,0.001024531,0.3189137,0.0004279519,0.02417926,0.0009783151,0.2605261,0.001187949],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.951183,0.04221388,0.000321104,0.0003646319,0.002800745,0.0002420927,0.000002581083,0.00001515295,0.002856868],"genre_scores_gemma":[0.9894776,0.000003148162,0.0000458729,0.00849996,0.0009578274,0.000007580484,0.000002068255,0.000008962177,0.0009970339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.373272,"threshold_uncertainty_score":0.9926113,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008823907485748784,"score_gpt":0.2632199309812453,"score_spread":0.2543960234954965,"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."}}